51 Stratification Jobs

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: Position Summary: The Analyst, Clinical Analytics will be working with a highly-advanced team of Risk and Quality Analysts to develop and maintain reporting capabilities. Roles & Responsibilities: Analyse data, produce reports, and connect model output to client & program operations Become a resource for how risk adjustment applies to various lines of business Identify quality measure opportunities as they relate to different lines of business Quantify and forecast operational returns related to risk adjustment and HEDIS quality measures Work in a collaborative environment with other innovative professionals to design, develop, and maintain best-in-breed risk adjustment and quality reporting solutions that measure and forecast risk scores, forecast quality STARs, monitor suspecting model performance, and identify areas of improvement Use cutting edge analytic tools & techniques like SQL, SAS and python to produce insights to improve our processes and research to share internally and externally. Skill Set Requirements (Mandatory): Bachelor’s degree with either a quantitative major (e.g. actuarial, statistics, economics, engineering, computer science, operations research, applied math) or healthcare major (health administration, public health) 3-5 years of experience in a health analytics, quantitative analyst, or software engineering / programming role Technical skills required in MS office and highly proficient programming skills –SQL, Python and/or SAS. Strong verbal & written skills and excellent communication & presentation skills. Comfortable presenting complex analyses Collaborative working style with the ability to work across different organizations and personalities as well as comfort in a highly matrixed environment Ability to multitask, prioritize, adapt to change, work well under pressure in an entrepreneurial environment, meet deadlines, and manage a project from start to finish Finishing Touches (Preferred): Ability to understand and apply highly technical specifications to healthcare datasets Experience with machine learning concepts such as regression, stratification, etc. Experience applying Medicare, Medicaid, or ACA risk adjustment mode Experience applying Medicare STARS quality measures Academic Qualification: Please list what academic qualifications the candidate must hold (i.e., bachelors, associates, etc.) below: Bachelors is preferred but programming specific associates maybe okay. Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

Job Description Job Title: PM Location: Mumbai / Pune Skill- End to end KYC, Periodic Review, AML, and Due Diligence Shift Timings: APAC , EMEA , NAM Roles & Responsibilities The KYC Lifecycle Team performs detailed KYC checks on new and existing clients to fulfil KYC & AML regulatory requirements in multiple jurisdictions, allowing our clients to engage in a risk compliant manner. This role will include the understanding of KYC lifecycle and manage complete KYC process. In this role you will be liaising with our clients, front and middle office staff to obtain KYC documentation of existing customers as part of reviews, interfacing with internal stakeholders on any KYC lifecycle related queries and conducting research clients to obtain KYC data from public sources. You will also be screening entity names against sanctions, adverse news and politically exposed person, provide disposition and escalate due diligence findings to Financial Crimes Compliance Key Responsibilities Include Maintain working knowledge of various internal processes including KOP’s, Local Regulations & Guidelines. Publishing of MIS on status of the KYC Periodic Review to the Senior Management of the Bank (Both Regional & Local) Ensure that there are no Critical Audit Points as a result of Regulatory or Internal Audits. Rollout of any new KYC Policy / Regulations and also proper understanding of the same within the team and stakeholders. For the delivery of high standards of client service, at the same time ensuring that all internal (e.g. Risk) and external (e.g. Compliance) standards requirements are met in full. Ensure appropriate escalation policies exist and are followed. Work collectively with management, develop and maintain a motivated and professionally trained staff, ensuring appropriate capacity planning, adherence to and improvement in performance and quality standards and appropriate career development. Provide leadership support, guidance and coaching to the team. Ensure key stakeholders are kept informed of the progress and challenges and escalating issues where appropriate. Work in a high-pressure and time-sensitive environment. Perform quality checks to ensure that defined guidelines are adhered for excellent QA scores. Work as the process owner and ensure end to end management of all activities associated with the process. Ensure adherence to standards, procedures and also identify risk mitigates wherever there is a control issue. Qualification And Skills Bachelor’s Degree (B.Com, BBA, BBM, BCA) / Master’s Degree (M.Com, MBA, PGDM). 6 to 9 years' experience in AML Compliance & KYC within the financial services industry with experience in Data Quality and Controls Work closely with other internal teams to ensure top of the line service to Clients. Prioritize tasks and ensure adherence to timelines for completion of activities Initiate and lead change management initiatives within the team. Ensure structured upward & downward communication Responsible for ensuring that cases are managed effectively and consistently in line with the agreed process; ensuring that all aspects of delivery are running effectively and if necessary, escalating issues. Liaises with multiple internal stakeholders to ensure the smooth delivery of KYC & AML services to clients. Supports the production of critical metrics and reporting which provide data related to department performance, risk quantification and stratification. Review complex KYC cases and ensure appropriate escalation to internal teams such as AML. You will be an individual contributor as a part of a team with a predetermined focused scope of work. Good experience in MS-Office applications like Excel, Word, Power point, Outlook etc eClerx Financial Markets offers consulting, technological innovation, and process management expertise to uniquely solve operational challenges for financial organizations worldwide. With nearly two decades of industry experience, complemented by smart automation and robotics, our team of experts delivers holistic solutions across the trade lifecycle, change management, data analytics, compliance, cash securities operations, document digitization and generation, and outreach. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. About The Team eClerx or its affiliate partners do not solicit fees or payments and does not ask for confidential financial information from applicants for job offers. Safety of personal assets is every individual’s responsibility. All candidates are requested to stay alert and be aware of fraudulent/unethical hiring practices, and take effective measures to safeguard their personal information. eClerx is not liable for any payments made by applicants in response to fraudulent job offers. If you are suspicious of any unethical job-related activity or communication related to eClerx, please report it on this link. https://careers.eclerx.com/Static/RecruitmentFraudAlert

Job title: AI/ML Data Scientist Location: Hyderabad About The Job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive Innovation Across Multiple High-impact Domains Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About You Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools And Technologies Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

I am Asheesh Pillay and I’m from Talent Acquisition Team at CES Limited. I came across your profile as we’re currently looking for a Analyst/Senior Analyst/Lead - Alternative Investment and I think you could be a good fit. We are looking for 2+ years of experience in Investment Operations, I’d like to tell you a little more about this position and learn a few things about you as well. Are you available for a quick call? If so, I’d be happy to set up a call. I’m also happy to coordinate or answer any questions you may have via Mail/call if you prefer. Shift Timings: 3:00 PM IST to 12:00 AM IST Job Title: Analyst/Senior Analyst/Lead - Alternative Investment Location: Remote Job Description : 2+years relevant experience Resources will work until 10/10:30am pacific on a daily basis Resources will have direct access to investment & research folders and client's email addresses (if necessary) Need quantitative and qualitative skills sets Good written and verbal communication skills (fluent English) Nice to have: experience with BI tools such as QuickSight or PowerBI Activities Deal Analysis loan portfolio purchases Loan stratification analysis Historical performance reviews Price modeling credit facilities Forecast modeling Cumulative collections curves Runoff models Other specialty finance opportunities Create investment memos and other research summaries Conduct market research Summarize qualitative and quantitative aspects of the deal Performance Analysis and Valuation Support Track monthly performance of positions Collect and cleanse data tapes and other inputs from external counterparties Track expected vs. actual performance variances Flag and identify deviations from assumptions Assist FinOps team and Valuation Committee in updating valuation models Portfolio Management & Monitoring Monitor covenants, audit support, and review draw requests for compliance Monitor Credit Facility positions on Cascade Debt and excel BBC models Request information from counterparties such as company financials, bank balances Perform data and calculation audits on a rotating quarterly schedule Pull/request portfolio tapes and Borrowing Base Certificates (BBCs) on Excel and data agent systems Review portfolio tapes and BBCs. Cleanse/standardize data and flag abnormalities Other Help manage and maintain standardized formats and dealroom folders Help maintain CRM, LMS, and other systems Develop internal procedures of the aforementioned processes

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Structured Finance – Transactions – ABS/MBS EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! The opportunity The Structured Finance Team specializes in addressing varying needs of market participants in the securitization marketplace across asset classes, including asset- backed securities (ABS), commercial mortgage- backed securities (CMBS), residential mortgage- backed securities (RMBS) and collateralized loan obligations (CLO). The securitization market is a dynamic marketplace, continuously evolving with new regulations and technological advances every day. This a great opportunity to work in this fast-paced transaction business, support diverse engagement teams, work with a wide variety of clients and lead business development activities on strategic and global priority accounts. Your Key Responsibilities The primary role of the SFT transaction team is to perform agreed-upon procedures (AUP) to help clients execute securitization transactions successfully. Work with and interact with front-office investment banking clients daily Perform loan document review and data reviews on loan files, recalculating fields on data tapes and run exception reports to tie out with clients Create collateral stratification tables used for assessing loan pool characteristics Review offering documents to verify information is accurate, complete, and conforming with industry and market standards Multitask and work under pressure to meet strict deadlines Articulate issues and problems and communicate clearly to the seniors Ability to work collaboratively with team members as part of the team Skills and attributes for success Strong leadership, teaming, technical and relationship- building skills and integrity. These skills along with having a consistent commitment to delivering only the highest quality of work products to your clients, will allow you to easily integrate into the SFT transaction team and reach your professional development goals. To qualify for the role, you must have A bachelor's degree in Accounting, Finance, Economics, or a related discipline and approximately 2 years of related work experience; MBA or equivalent preferred Excellent prioritization skills and a commitment to meeting client deadlines Strong communication skills for report writing, client presentations and client interactions Proficient skills with MS Office, including Excel, Word, and PowerPoint Flexibility and willingness to work more than standard hours when necessary to meet client deadlines Willingness to work in shift based on the role hired for Ideally, you’ll also have Prior structured finance experience What we look for Individuals who demonstrate in-depth technical capabilities and professional knowledge Knowledge of loan/asset characteristics Knowledge of CAS tool Ability to work in shifts per capital market needs Strong analytical skills with attention to detail & accuracy Ability to quickly assimilate to new knowledge and possess good business acumen Polished verbal and written communication skills in English What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Structured Finance – Transactions – ABS/MBS EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! The opportunity The Structured Finance Team specializes in addressing varying needs of market participants in the securitization marketplace across asset classes, including asset- backed securities (ABS), commercial mortgage- backed securities (CMBS), residential mortgage- backed securities (RMBS) and collateralized loan obligations (CLO). The securitization market is a dynamic marketplace, continuously evolving with new regulations and technological advances every day. This a great opportunity to work in this fast-paced transaction business, support diverse engagement teams, work with a wide variety of clients and lead business development activities on strategic and global priority accounts. Your Key Responsibilities The primary role of the SFT transaction team is to perform agreed-upon procedures (AUP) to help clients execute securitization transactions successfully. Work with and interact with front-office investment banking clients daily Perform loan document review and data reviews on loan files, recalculating fields on data tapes and run exception reports to tie out with clients Create collateral stratification tables used for assessing loan pool characteristics Review offering documents to verify information is accurate, complete, and conforming with industry and market standards Multitask and work under pressure to meet strict deadlines Articulate issues and problems and communicate clearly to the seniors Ability to work collaboratively with team members as part of the team Skills And Attributes For Success Strong leadership, teaming, technical and relationship- building skills and integrity. These skills along with having a consistent commitment to delivering only the highest quality of work products to your clients, will allow you to easily integrate into the SFT transaction team and reach your professional development goals. To qualify for the role, you must have A bachelor's degree in Accounting, Finance, Economics, or a related discipline and approximately 2 years of related work experience; MBA or equivalent preferred Excellent prioritization skills and a commitment to meeting client deadlines Strong communication skills for report writing, client presentations and client interactions Proficient skills with MS Office, including Excel, Word, and PowerPoint Flexibility and willingness to work more than standard hours when necessary to meet client deadlines Willingness to work in shift based on the role hired for Ideally, you’ll also have Prior structured finance experience What We Look For Individuals who demonstrate in-depth technical capabilities and professional knowledge Knowledge of loan/asset characteristics Knowledge of CAS tool Ability to work in shifts per capital market needs Strong analytical skills with attention to detail & accuracy Ability to quickly assimilate to new knowledge and possess good business acumen Polished verbal and written communication skills in English What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland, and the UK – and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the Company: We are one of India’s premier integrated political consulting Firms specializing in building data driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. Job Summary: We are seeking a detail-oriented and methodical Statistical Analyst/ Statistician to join our analytics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting quantitative data to support strategic decision-making. This role involves developing statistical models, running simulations, and producing reports and visualizations to uncover insights and guide organizational priorities. The role also requires the candidate to be able to report and publish insights from data from time to time. Key Responsibilities: ● Collect, clean, and prepare large datasets from multiple sources for analysis. ● Apply statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns and forecast ● Interpret and communicate complex data findings and forecasts to non-technical stakeholders. ● Build and maintain dashboards, forecasts, and ad hoc reports. ● Support survey design and evaluation (sampling, weighting, post-stratification if applicable). ● Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. ● Ensure the accuracy, integrity, and privacy of all data processed. Required/Minimum Qualifications: ● Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics(Econometrics), or a related quantitative field. ● Strong proficiency is a must in Microsoft Excel, Word as well as G-Suites ● Strong proficiency in any statistical software(R/SPSS is preferred) ● Solid understanding of statistical concepts, statistical modelling, including, but not limited to linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods. ● Experience working with large datasets and relational databases(graduate or undergraduate experience will also be considered). ● Excellent analytical, problem-solving, and organizational skills. ● Strong communication skills, especially in interpreting data for non-technical audiences. Preferred Qualications: ● Must have demonstrated ability to manage large data-sets simultaneously with a purpose of building hypotheses and inference testing. ● Proven academic excellence/research experience in quantitative fields such as econometrics, financial , mathematics, bayesian statistics etc. ● Model building experience in Python, R will be an advantage. ● Experience with query writing and data automation related tasks (SQL, VBA etc) is a plus. ● Ability to independently work on multiple projects and/or manage key requirements of internal stakeholders. ● Prior experience/Postgraduate experience in publishing academic research is a plus. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore,560021

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Principal Data Scientist is responsible for the creation of analytic and statistical methods, design of predictive models, and the integration of methods and models into commercially available analytic products. Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics will be used to identify opportunities, explore business questions, and make valuable discoveries for prototype development and product improvement. Primary Responsibilities: Lead team on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Identify ways to improve and extend the analytic methods in our products Conduct hands-on data analysis and predictive analytics on large datasets Effectively communicate complex technical results to business partners Support and drive analytic efforts around machine learning and innovation Work with a great deal of autonomy to find solutions to complex problems Assign work to team members and review their work Subject matter expert for our clients Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: PhD or master’s degree in medical economics, Statistics, Mathematics, Healthcare Informatics, or related healthcare analytics experience 5+ years of experience in healthcare analytics/informatics 3+ years of experience with healthcare predictive modeling and/or machine learning 5+ years of experience with claims episode grouping and/or predictive modeling software Solid knowledge of administrative claims and/or clinical data accessed via large data warehouse environment Experience using claims and/or clinical data in applications such as: risk identification and stratification, cost and utilization reporting, provider measurement, trending, benchmarking, population health and care coordination, quality measurement or clinical outcomes. Experience in big data environments (e.g. Microsoft Azure, AWS, SPARK) Proficiency with SQL, R, Python, and/or other statistical programs Proficiency with MS Office suite (including Excel, Access, Word, and PowerPoint) Solid technical leadership and training skills. Ability to guide the work of others without a direct reporting relationship Solid analytical and problem-solving skills, with attention to detail Proven self-assured, self-motivated and results oriented Proven innovative/creative Proven excellent written and verbal communications skills Proven excellent collaboration and customer service skills Preferred Qualifications: Experience in AWS SageMaker environment Experience with H2O Experience with Scala Experience with marketing analytics At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation Using azure infra for deployment/maintenance of applications Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to interpret complex healthcare data to provide actionable insights Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects Analyze, design, Code, Review, Integrate, Implement, Install, Deploy and Maintenance of the computer programs and software components using specific tools and latest technologies including Java/J2EE, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker, JSON, Node JS, Casandra, GraphQL etc. Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA Develop and maintain documentation for models, processes, and systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field Experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras Experience as a Full Stack Engineer with Solid proficiency in Java, SpringBoot, Python or other backend programming languages Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes) Solid understanding of database concepts, distributed systems, and data warehousing principles Preferred Qualifications: Master’s degree Azure certifications Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic

Job Description Job Title: PM Location: Mumbai / Pune Skill- End to end KYC, Periodic Review, AML, and Due Diligence Shift Timings: APAC , EMEA , NAM Roles & Responsibilities The KYC Lifecycle Team performs detailed KYC checks on new and existing clients to fulfil KYC & AML regulatory requirements in multiple jurisdictions, allowing our clients to engage in a risk compliant manner. This role will include the understanding of KYC lifecycle and manage complete KYC process. In this role you will be liaising with our clients, front and middle office staff to obtain KYC documentation of existing customers as part of reviews, interfacing with internal stakeholders on any KYC lifecycle related queries and conducting research clients to obtain KYC data from public sources. You will also be screening entity names against sanctions, adverse news and politically exposed person, provide disposition and escalate due diligence findings to Financial Crimes Compliance Key Responsibilities Include Maintain working knowledge of various internal processes including KOP’s, Local Regulations & Guidelines. Publishing of MIS on status of the KYC Periodic Review to the Senior Management of the Bank (Both Regional & Local) Ensure that there are no Critical Audit Points as a result of Regulatory or Internal Audits. Rollout of any new KYC Policy / Regulations and also proper understanding of the same within the team and stakeholders. For the delivery of high standards of client service, at the same time ensuring that all internal (e.g. Risk) and external (e.g. Compliance) standards requirements are met in full. Ensure appropriate escalation policies exist and are followed. Work collectively with management, develop and maintain a motivated and professionally trained staff, ensuring appropriate capacity planning, adherence to and improvement in performance and quality standards and appropriate career development. Provide leadership support, guidance and coaching to the team. Ensure key stakeholders are kept informed of the progress and challenges and escalating issues where appropriate. Work in a high-pressure and time-sensitive environment. Perform quality checks to ensure that defined guidelines are adhered for excellent QA scores. Work as the process owner and ensure end to end management of all activities associated with the process. Ensure adherence to standards, procedures and also identify risk mitigates wherever there is a control issue. Qualification And Skills Bachelor’s Degree (B.Com, BBA, BBM, BCA) / Master’s Degree (M.Com, MBA, PGDM). 6 to 9 years' experience in AML Compliance & KYC within the financial services industry with experience in Data Quality and Controls Work closely with other internal teams to ensure top of the line service to Clients. Prioritize tasks and ensure adherence to timelines for completion of activities Initiate and lead change management initiatives within the team. Ensure structured upward & downward communication Responsible for ensuring that cases are managed effectively and consistently in line with the agreed process; ensuring that all aspects of delivery are running effectively and if necessary, escalating issues. Liaises with multiple internal stakeholders to ensure the smooth delivery of KYC & AML services to clients. Supports the production of critical metrics and reporting which provide data related to department performance, risk quantification and stratification. Review complex KYC cases and ensure appropriate escalation to internal teams such as AML. You will be an individual contributor as a part of a team with a predetermined focused scope of work. Good experience in MS-Office applications like Excel, Word, Power point, Outlook etc eClerx Financial Markets offers consulting, technological innovation, and process management expertise to uniquely solve operational challenges for financial organizations worldwide. With nearly two decades of industry experience, complemented by smart automation and robotics, our team of experts delivers holistic solutions across the trade lifecycle, change management, data analytics, compliance, cash securities operations, document digitization and generation, and outreach. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview We are looking for a passionate Clinical Affairs Associate / Sr. Associate to drive clinical accuracy, evidence-based feature design, and quality control for our AI-driven healthcare solutions. You'll work on transforming clinical knowledge into structured, intelligent workflows powering LLM agents, screening tools, diagnostic support systems, and more. Key Responsibilities 🔹 Clinical Research & Evidence Translation Research and synthesise national & international guidelines (e.g., ICMR, WHO, ADA). Translate clinical knowledge into structured logic, care pathways, and decision trees. Draft high-quality prompts for AI agents across use cases like diagnostics, triaging, and screening. 🔹 AI Agent Design & Prompt Engineering Develop intelligent, clinically validated agents to power patient interactions and backend systems. Build multi-agent models for diagnostics, risk stratification, nutrition support, and mental health screening. 🔹 Validation & Quality Control Review AI outputs for safety, accuracy, and alignment with intended clinical use. Conduct testing, scenario audits, and help refine clinical workflows and edge cases. 🔹 Documentation & Research Contribute to white papers, SOPs, and structured research briefs. Assist in drafting clinical knowledge bases and AI validation frameworks. 🔹 Cross-functional Collaboration Work with product, data science, engineering, and regulatory teams to operationalise clinical logic. Contribute to innovations in AI-powered obesity care, mental health triage, and public health solutions. Experience and Qualifications 1–3 years in clinical affairs, digital health, or AI-healthcare roles Hands-on experience with clinical workflows, research, or hospital-based care Familiarity with clinical guideline repositories and structured knowledge representation Bachelor's degree (MBBS/BAMS/BHMS/BPT/Nursing preferred) Master’s in Public Health, Health Informatics, Clinical Research, or AI in Healthcare is a plus Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Apollo Tyres Ltd is an international tyre manufacturer and the leading tyre brand in India. The company has multiple manufacturing units in India and a unit each in The Netherlands and Hungary. The company markets its products under its two global brands – Apollo and Vredestein, and its products are available in over 100 countries through a vast network of branded, exclusive and multi-product outlets. Job Title : Executive - Engineering ( Electrical ) Location : Kalamassery Reports to (Position) : Department/Function : Main Responsibilities / Job Summary Address and resolve major equipment breakdowns, ensuring timely communication with higher-level management. Ensure compliance with calibration standards. Maintenance Cost stratification and control. Provide training and foster skill development for engineering and team members. Contribute to the reduction of process scrap. Lead and manage small-scale improvement projects. Execute preventive maintenance tasks for electrical and instrumentation systems across the plant. Ensure the electrical safety of equipment, identifying and correcting any abnormalities. Issue work permits in compliance with safety and operational standards. Maintain discipline and order on the shop floor. Education Qualification B.Tech / BE in Electrical Electronics Engineering. Experience 4-6 years

Career Area Supply Chain and Logistics Job Description Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. As part of RI Factory Logistics, this role will support warehouse operations such as leading material review committee, supports warehouse inbound to outbound operation and logistics planning, also the candidate possesses basic knowledge in SAP warehouse management system. Basically, this role will continuously improve and enable warehouse operations from inbound to point of use for assembly processes. Responsibilities Efficiently handles material review committees (MRC), leads resolution on warehouse operations defective components Governs and executes shelf-life management for about 300 parts Leads built in quality (BIQ) for logistics operations Supports improvements in logistics processes through projects and Kaizen tasks Assists on SAP warehouse management system for operations Supports warehouse digitalization and technology initiatives Supports defect free warehouse transactions Supports warehouse compliance to ISO audits and internal inventory audits Skill Descriptors Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Learns from mistakes and applies lessons learned from logistics transactions Develops and uses checklists to ensure that information goes out error-free. Demonstrates ability to learn SAP warehouse management systems Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems Makes a systematic comparison of two or more alternative solutions. Uses data stratification, flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Logistics Management: Knowledge of logistics and management; ability to follow proper processes and run operations for effective and efficient movement of materials and finished products. Level Basic Understanding Explains how improvements in logistics contribute to competitive advantage in the marketplace. Identifies issues and considerations for inbound and outbound logistics. Documents internal and external informative sources or proprietary materials about logistics management. Describes basic logistical processes and sub-processes. Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Uses effective decision-making approaches such as consultative, command, or consensus Ensures that assumptions and received wisdom are objectively analyzed in decisions Evaluates past decisions for insights to improve decision-making process Collaborates in analysing and synthesizing relevant data and assessing alternatives. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Required Qualifications Bachelor of Engineering (BE) / equivalent graduation/degree is a must 2 to 6 years of work experience in warehouse operations / warehouse management systems / inventory management in manufacturing industry Foundational knowledge in SAP WM / equivalent applications Good interpersonal skills for internal and cross functional collaboration Desired Qualifications Lean Deployment and 6Sigma Projects Microsoft 365, Power BI and Power Apps Relocation is available for this position. Posting Dates July 10, 2025 - July 17, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to apply? Join our Talent Community.

Key Responsibilities: • Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges • Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data • Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization • Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization • Create and maintain automated data pipelines for real-time analytics and reporting • Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance • Develop and deploy models in cloud environments while creating visualizations for stakeholders • Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: • Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field • At least 2 years of hands-on experience in data science, analytics, or machine learning roles • Demonstrated experience working with large datasets and statistical modeling • Proficiency in Python or R for data analysis and machine learning • Experience with SQL and database management systems • Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch • Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 • Experience with version control systems (Git) and collaborative development practices • Strong foundation in statistics, hypothesis testing, and experimental design • Experience with supervised and unsupervised learning techniques • Knowledge of data preprocessing, feature engineering, and model validation • Understanding of A/B testing and causal inference methods. What You’ll Need to Be Successful (Required Skills): • Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre-trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques • Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications • Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications • Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems • AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques • Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications • AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines

Contact Mr Manoj Thenua WhatsApp 639865 2832 About The Opportunity A leading multi-specialty healthcare provider in India's tertiary care hospital segment, we deliver patient-centric anaesthesia services across surgical, trauma, obstetrics, and critical care theatres. Our on-site team combines evidence-based protocols, advanced monitoring, and rapid response capabilities to ensure safe peri-operative outcomes and pain management for a high-volume patient population. Role & Responsibilities Provide consultant-level anaesthesia care for elective and emergency surgeries, ensuring optimal induction, maintenance, and emergence. Lead pre-operative assessments, risk stratification, and informed consent discussions with patients and families. Oversee intra-operative monitoring—airway, haemodynamic stability, and fluid management—adhering to ASA standards. Coordinate post-operative pain management plans, including regional blocks and ICU handovers. Guide and mentor resident doctors, DNB trainees, and OT staff on best practices and crisis management drills. Participate in morbidity & mortality audits, quality improvement initiatives, and hospital accreditation processes. Skills & Qualifications Must-Have: MD/DNB in Anaesthesiology with valid MCI/State registration. 5+ years independent OT and ICU experience. Proficiency in difficult airway algorithms, regional anaesthesia, and ultrasound guidance. ACLS/BLS certification and familiarity with critical care protocols. Preferred: Experience in cardiac or paediatric anaesthesia. Exposure to ERAS pathways and advanced pain management techniques. Benefits & Culture Competitive consultant remuneration with performance incentives. State-of-the-art operation theatres and monitoring technology. Collaborative, teaching-oriented environment with CME sponsorships. Work Location On-site | India Skills: accreditation,crisis management,acls certification,art,md/dnb in anaesthesiology,ultrasound guidance,independent ot and icu experience,bls certification,crisis,critical care protocols,mci/state registration,advanced,team leadership,airway management,patient safety,critical care,algorithms,difficult airway algorithms,management,dnb,pain management,regional anaesthesia

At Takeda, we are guided by our purpose of creating better health for people and a brighter future for the world. Every corporate function plays a role in making sure we — as a Takeda team — can discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. People join Takeda because they share in our purpose. And they stay because we’re committed to an inclusive, safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions. Job ID R0150071 Date posted 07/07/2025 Location Bengaluru, Karnataka I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. About the Role We are seeking an innovative and skilled Principal AI/ML Engineer with a strong focus on designing and deploying scalable machine learning solutions. This role requires a strategic thinker who can architect production-ready solutions, collaborate closely with cross-functional teams, and ensure adherence to Takeda’s technical standards through participation in the Architecture Council. The ideal candidate has extensive experience in operationalizing ML models, MLOps workflows, and building systems aligned with healthcare standards. By leveraging cutting-edge machine learning and engineering principles, this role supports Takeda’s global mission of delivering transformative therapies to patients worldwide. How You Will Contribute Architect scalable and secure machine learning systems that integrate with Takeda’s enterprise platforms, including R&D, manufacturing, and clinical trial operations. Design and implement pipelines for model deployment, monitoring, and retraining using advanced MLOps tools such as MLflow, Airflow, and Databricks. Operationalize AI/ML models for production environments, ensuring efficient CI/CD workflows and reproducibility. Collaborate with Takeda’s Architecture Council to propose and refine AI/ML system designs, balancing technical excellence with strategic alignment. Implement monitoring systems to track model performance (accuracy, latency, drift) in a production setting, using tools such as Prometheus or Grafana. Ensure compliance with industry regulations (e.g., GxP, GDPR) and Takeda’s ethical AI standards in system deployment. Identify use cases where machine learning can deliver business value, and propose enterprise-level solutions aligned to strategic goals. Work with Databricks tools and platforms for model management and data workflows, optimizing solutions for scalability. Manage and document the lifecycle of deployed ML systems, including versioning, updates, and data flow architecture. Drive adoption of standardized architecture and MLOps frameworks across disparate teams within Takeda. Skills and Qualifications Education Bachelors or Master’s or Ph.D. in Computer Science, Software Engineering, Data Science, or related field. Experience At least 6-8 years of experience in machine learning system architecture, deployment, and MLOps, with a significant focus on operationalizing ML at scale. Proven track record in designing and advocating ML/AI solutions within enterprise architecture frameworks and council-level decision-making. Technical Skills Proficiency in deploying and managing machine learning pipelines using MLOps tools like MLflow, Airflow, Databricks, or Clear ML. Strong programming skills in Python and experience with machine learning libraries such as Scikit-learn, XGBoost, LightGBM, and TensorFlow. Deep understanding of CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions) for automated model deployment. Familiarity with Databricks tools and services for scalable data workflows and model management. Expertise in building robust observability and monitoring systems to track ML systems in production. Hands-on experience with classical machine learning techniques, such as random forests, decision trees, SVMs, and clustering methods. Knowledge of infrastructure-as-code tools like Terraform or CloudFormation to enable automated deployments. Experience in handling regulatory considerations and compliance in healthcare AI/ML implementations (e.g., GxP, GDPR). Soft Skills Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills for influencing technical and non-technical stakeholders. Leadership ability to mentor teams and drive architecture-standardization initiatives. Ability to manage projects independently and advocate for AI/ML adoption across Takeda. Preferred Qualifications Real-world experience operationalizing machine learning for pharmaceutical domains, including drug discovery, patient stratification, and manufacturing process optimization. Familiarity with ethical AI principles and frameworks, aligned with FAIR data standards in healthcare. Publications or contributions to AI research or MLOps tooling communities. WHAT TAKEDA ICC INDIA CAN OFFER YOU: Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people. At Takeda, you take the lead on building and shaping your own career. Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth. BENEFITS: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are: Competitive Salary + Performance Annual Bonus Flexible work environment, including hybrid working Comprehensive Healthcare Insurance Plans for self, spouse, and children Group Term Life Insurance and Group Accident Insurance programs Health & Wellness programs including annual health screening, weekly health sessions for employees. Employee Assistance Program 5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves Broad Variety of learning platforms Diversity, Equity, and Inclusion Programs No Meeting Days Reimbursements – Home Internet & Mobile Phone Employee Referral Program Leaves – Paternity Leave (4 Weeks), Maternity Leave (up to 26 weeks), Bereavement Leave (5 days) ABOUT ICC IN TAKEDA: Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day. As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization. #Li-Hybrid Locations IND - Bengaluru Worker Type Employee Worker Sub-Type Regular Time Type Full time

About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose Credit and risk management of the India retail loans for CE portfolio. Retail underwriting and portfolio management. Review of Credit policy & guidelines and drive adherence to the policy with all relevant teams. Manage various stakeholders – internal i.e. credit, sales, and collections and external i.e. customers, vendors, and regulators. Key Responsibilities Evaluate credit proposals for retail and strategic customers for Agriculture & Construction Equipment Financing. Support wholesale underwriting team in credit assessment of dealers. Analysis and evaluation of financials statements. Interaction with Strategic Customers & understanding of the business & explore business opportunities. Responsible for customer and dealer visits and sharing market information and feedback with other team members. Responsible for the application process from login to approval. Responsible for turnaround time management. Monitoring of portfolio quality and Delinquencies with collections & Sales team for weekly/monthly reviews. Monitoring of regular credit control meetings. Preparation of MIS – multiple reports for weekly and monthly flash. Policy reviews basis industry & market feedback. Ensuring compliance with credit policies and regulations. Experience Required Strong understanding of credit underwriting, risk management, and related processes. Experience in construction equipment finance or SME / MSME sectors. Expertise in understanding of bureau/Credit reports. Expertise in Data reporting, stratification, segmentation, and Analysis. Exposure to Captive finance especially in Agriculture and Construction segments would be a plus. Excellent communication skills and ability to clearly communicate with various stakeholders. Understanding of overall NBFC business and its functions Strong attention to detail. Ability to work under pressure, work independently and proactively. 7 to 12 years of relevant experience Preferred Qualifications Qualified Chartered Accountant/Master’s degree in finance, business, accounting, or related fields Language Requirement(s): English What We Offer We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect. Benefits At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including: Flexible work arrangements Savings & Retirement benefits Tuition reimbursement Parental leave Adoption assistance Fertility & Family building support Employee Assistance Programs Charitable contribution matching and Volunteer Time Off Apply now Share This Job

Job ID: 1411 Location: Fully On-Site, Gurgaon, Haryana, IN Job Family: Financial Services Job Type: Permanent Employment Type: Full Time About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose Credit and risk management of the India retail loans for CE portfolio. Retail underwriting and portfolio management. Review of Credit policy & guidelines and drive adherence to the policy with all relevant teams. Manage various stakeholders – internal i.e. credit, sales, and collections and external i.e. customers, vendors, and regulators. Key Responsibilities Evaluate credit proposals for retail and strategic customers for Agriculture & Construction Equipment Financing. Support wholesale underwriting team in credit assessment of dealers. Analysis and evaluation of financials statements. Interaction with Strategic Customers & understanding of the business & explore business opportunities. Responsible for customer and dealer visits and sharing market information and feedback with other team members. Responsible for the application process from login to approval. Responsible for turnaround time management. Monitoring of portfolio quality and Delinquencies with collections & Sales team for weekly/monthly reviews. Monitoring of regular credit control meetings. Preparation of MIS – multiple reports for weekly and monthly flash. Policy reviews basis industry & market feedback. Ensuring compliance with credit policies and regulations. Experience Required Strong understanding of credit underwriting, risk management, and related processes. Experience in construction equipment finance or SME / MSME sectors. Expertise in understanding of bureau/Credit reports. Expertise in Data reporting, stratification, segmentation, and Analysis. Exposure to Captive finance especially in Agriculture and Construction segments would be a plus. Excellent communication skills and ability to clearly communicate with various stakeholders. Understanding of overall NBFC business and its functions Strong attention to detail. Ability to work under pressure, work independently and proactively. 7 to 12 years of relevant experience Preferred Qualifications Qualified Chartered Accountant/Master’s degree in finance, business, accounting, or related fields Language Requirement(s): English What We Offer We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect. At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including: Flexible work arrangements Savings & Retirement benefits Tuition reimbursement Parental leave Adoption assistance Fertility & Family building support Employee Assistance Programs Charitable contribution matching and Volunteer Time Off

About the job About Company: Ideametrics Pvt. Ltd. is a premier engineering design and simulation solutions provider in India. It serves various sectors, including oil and gas, power, food and pharmaceuticals, and chemicals. The company is recognized for its expertise in delivering reliable engineering solutions. Website: www.ideametrics.co.in. www.ideametricsglobalengineering.com Position Category: Executive Role: Business Development Executive Functional Area: Business Development Qualification: BE/BBA + MBA Marketing Experience: 0- 2 Years Skills required: Must have impeccable listening and understanding skills. Fluent in the English Language Excellent communication and leadership skills. Ability to work under pressure and manage timely deliveries. Willingness to work extended hours to meet deadlines. Excellent presentation and communication skills, with the ability to articulate complex ideas clearly and persuasively. Strategic thinking and planning abilities Role and Responsibilities: Strong prospecting and customer acquisition skills, with a focus on building profitable relationships. Analytical mindset with the ability to identify market trends, customer needs, and business opportunities. Results-driven attitude with a commitment to achieving and exceeding sales targets. Research and mine prospective clients, maintaining a database of potential leads and opportunities. Conduct outbound calls to international clients to introduce our services, identify potential business opportunities, and schedule meetings. Identify, qualify, and acquire new business opportunities while nurturing existing client relationships. Utilize a systematic approach to prospect and develop profitable new customers, considering customer potential and stratification. Produce and present Prime Vendor proposals to prospective customers, demonstrating a deep understanding of their needs and offering tailored solutions. Build and maintain ongoing working relationships with existing and new clients, fostering trust and loyalty. Deliver professional presentations to qualified customers, effectively communicating the value proposition of our solutions. Develop and implement strategic business development sales plans to achieve company goals and targets. Consult with customers to understand their business needs, propose relevant solutions, and create ROI proposals for customer review. Collaborate with the Business Development team to proactively identify and qualify new business opportunities. Report progress and insights to the core management team, contributing to the learning, implementation, and refinement of the business development process. Negotiate with clients to finalize agreements and convert proposals into orders. Track progress, measure performance, and evaluate the effectiveness of business development initiatives. Job Location: Kolhapur, Maharashtra Work Shift: 09:00 am to 6:00 pm, and can be changed as per demographics assigned.

Job Description: You will provide leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.

Build systems that think, reason—and save lives. At Karyon Bio , we’re not just building AI. We’re building always-on clinical copilots —agentic AI systems that continuously interpret multi-omics, imaging, and clinical data to predict and prevent chronic diseases before it turns deadly. 🧠 Your Mission Lead our Healthcare Consulting organization in building business globally with Payers, Hospitals and Pharma: Ignite Global Growth Drive > 50 % YoY consulting-revenue growth by landing and expanding marquee payer, hospital-system and pharma accounts in North America, EMEA and APAC. Architect AI-First Solutions Convert Karyon Bio’s chronic diseases and multi-omics models into modular, FHIR-enabled products that slot into Epic, Cerner, AWS HealthLake and pharma data lakes—delivering measurable ROI in < 6 months. Own the Payer Playbook Build an AI underwriting and population-health toolkit that helps insurers cut chronic-disease costs by double digits—and package it into repeatable offerings for Blue-s, NHS trusts, GCC payers and beyond. Accelerate Hospital Adoption Slash hospital integration timelines from months to weeks through pre-certified SMART-on-FHIR apps, reference architectures and ready-made compliance templates. Unlock Pharma Collaboration Position our AI engines as biomarker-discovery and trial-stratification accelerators; secure at least two late-stage co-development deals with top-20 pharma by year two. Standardize Global Compliance Scale a World-Class Engineering Org Forge Strategic Alliances Seal technology and channel partnerships with hyperscale clouds, EHR vendors and health-tech ISVs to multiply market reach without linear headcount growth. Champion Data Ethics & Trust Amplify Karyon Bio’s Brand Serve as technical evangelist on global stages (HLTH, HIMSS, JP Morgan, DIA) to position Karyon Bio Consulting as the go-to AI partner for healthcare transformation. Measure What Matters Institute OKRs tied to client impact: early-detection rate lifts, underwriting-cycle compression, and trial-recruitment acceleration—reporting quarterly to the board. Sustain Innovation Velocity ✅ What You Bring Scale-Up Hustle: 5-8 yrs leading scrappy, fast-moving startup teams from MVP to enterprise rollout. Product-Led Growth Driver: Builds the sales engine through live demos, fast pilots, and MVP proof-points—not slide decks—then scales those wins into repeatable global revenue streams. Deal Sense: Turn technical wins into ROI stories that close payer, hospital and pharma contracts. People Leader: Built and mentored 20-30-person, high-trust engineering orgs. Data-Ethics Champion: Bias-mitigation, explainability and patient-privacy baked into every sprint. Storyteller: Equally compelling on whiteboards, in boardrooms and on HLTH/HIMSS stages. Metrics Mindset: Marries long-term vision with quarterly OKRs—latency down, detection-rate up. 🌍 Why This Matters $2 Trillion+ Problem to Solve – Chronic liver and metabolic diseases are draining global health budgets; smarter AI integration can slash avoidable costs and save lives at scale. Interoperability Bottlenecks Are the New Digital Divide – Hospitals, payers, and pharma can’t act on insights locked in siloed data; your leadership turns those roadblocks into real-time pipelines. AI Hype ≠ Clinical Impact – The industry has plenty of slide decks; what it needs are FDA-ready models embedded in Epic and claims workflows. You’ll bridge that gap. Lives—and Reputations—Are on the Line – Every month we accelerate early detection, thousands avoid progression to costly NASH and cirrhosis; that’s the legacy we’re building. 🔬 Why You’ll Love Working Here Mission With Immediate Impact – Every model you ship helps clinicians catch disease years earlier and saves payers millions—your code equals healthier lives. Builder’s Playground – Green-field architecture, GPU budget, and the freedom to choose the best stack for the job. No legacy spaghetti holding you back. Early Leadership Equity – Join at the inflection point and own a meaningful slice of a high-growth, global health-AI business. Global Canvas – Collaborate daily with hospitals in the U.S., insurers in the GCC, and pharma teams in Europe—your work travels the world. Follow Karyon Bio Page for more postings: https://www.linkedin.com/company/karyon-bio/ #HealthcareAI #DigitalHealth #Leader

Credit Analyst – Delivery Lead/Delivery Manager – Structured Finance Job Description Responsibilities: Preparing complex financial cashflow models on securitization to facilitate transaction ratings. Scenario and sensitivity analysis and building assumptions on prepayments and defaults Preparing loan stratification tables based on various characteristics. Analyzing the data and making it consistent for eligibility screening Ongoing monitoring of performance triggers, credit/covenant compliance, and broader market developments Monthly borrowing base monitoring including checking all calculations as per credit agreement, loan tape analysis and other portfolio metrics Preparing quarterly and annual credit reviews of the borrowers (specialty finance companies, asset managers, etc.) Work with credit team to accurately risk rate loans/credits. Participate in the loan approval process, recommending approval and an appropriate structure of credits Ensuring the portfolio administration and risk management of the credit facilities is in compliance with credit policy, procedure as well as regulatory guidelines Perform other tasks and special projects as needed This is an individual contributor role and opportunity to work with experts in Structured Finance and potential expansion of the team Essential Experience: Qualified Chartered Accountant or MBA Finance or CFA or M. Com or equivalent degree. Minimum 5 years of experience in the field of structured finance Strong understanding of cash flow modeling, securitization and asset backed finance structures Familiarity across a range of asset types; comfort working with novel or esoteric collateral is a strong plus Understanding of key operating risks of non-bank finance company borrowers, and financial assets Stay current on market developments, regulatory changes, trends across ABS and structured credit markets Demonstrate strong understanding of underwriting, credit analysis, legal documentation and regulatory frameworks Interested Candidates please share CV's at jayshree.chutani@acuitykp.com Location: Gurgaon Notice Period: Immediate - 0-60 days

This is a remote position. We are looking for an experienced and enthusiastic Sociology Instructor to join our team at Enthuziastic . The ideal candidate should have a deep understanding of sociological theories, concepts, and contemporary issues, along with a passion for teaching and engaging students in meaningful discussions about society, culture, and human behavior. As a Sociology Instructor, you will be responsible for delivering high-quality online classes to students at different academic levels, helping them build a strong foundation in the subject and prepare for academic or competitive exams. Key Responsibilities: Conduct live, interactive online classes on Sociology using platforms like Zoom. Develop engaging lesson plans, presentations, and assessments tailored to students’ academic level (school/college/competitive exams). Explain complex sociological theories and concepts in a simplified, relatable manner. Encourage critical thinking, analytical discussion, and student participation. Provide timely feedback, monitor progress, and offer academic support. Stay updated with the latest syllabus changes and contemporary sociological debates. Requirements Educational Background: Bachelor’s or Master’s degree in Sociology or a related field (Humanities/Social Sciences). B.Ed., NET qualification, or teaching certification is an added advantage. Skills & Experience: Minimum 2 years of teaching experience in Sociology (online or offline). Strong knowledge of core topics such as social institutions, stratification, culture, gender, globalization, etc. Excellent verbal and written communication skills. Ability to create interactive and student-centric lesson plans. Proficiency in using technology and digital tools for remote teaching. Strong organizational and time-management skills. Technical Requirements: Reliable internet connection and a professional online teaching setup. Comfortable using Zoom platform. Ability to use visual aids, digital whiteboards, and other tools to enhance learning. Benefits Benefits: Flexible work hours with 100% remote teaching opportunity. Opportunity to reach learners across the globe and make a meaningful impact. Supportive team and dynamic learning platform. Competitive compensation based on performance and experience. Access to training and development resources for continuous growth.

Role Overview Function Overview Assist in the production of “Screening Memos” for the Originations Team: As part of the loan origination process, the Origination Team produces a screening memo that details property level information (photos, maps, property description, rent roll and cash flows), market information (comparable property metrics and location) and financing information (capital stack, debt yield and loan information). The initial goal is for company to participate in the production of screening memos with the potential to participate in the underwriting and approval process for deals that Client elects to finance and refinance as well. Focus is to work on all the asset classes such multifamily, retail, storage, Industrial etc. loans originated by the Insurance. The Candidate would be supporting on the different workflows as mentioned below: Agency Pre-screening and ICM: Screening/underwriting of Agency Loans (Fannie Mae), deriving Underwriting Value, using financial spreading, rent roll analysis and creation of Investment Committee Memo. Non-Agency/Deal Pre-screening and ICM: Screening/underwriting of Non-Agency Loans, deriving Underwriting Value, using financial spreading, rent roll analysis and creation of ICM. Loan Portfolio Stratification and ICM : Stratification of portfolio of loans belonging to various asset classes, assessing their risk exposure using their property level, loan level and performance metrices. Draw Review Process: Reviewing draw related Invoices, Proof of Payments, Construction Budget, TI/LC, etc. and updating the Draw Review Trackers accordingly. On Boarding the delas on AI Based platform with the help of various closing documents, Offering Memorandum, Loan Agreement etc. Extracting market and asset specific statistics from various data sources (for eg: CoStar or similar platforms) for the pipeline deals which are shortlisted for screening or underwriting Comparing the key deal metrics which includes Occupancy, Cap Rates, Debt Yield, Cash Flow, NOI etc. of the pipeline deals with existing portfolio Analyzing property pictures & map for location-based insights, preparing the capital stack (i.e., Equity vs. Debt) and presenting them in an excel and ppt format Collecting and preparing sales and rent comparable of the target originations with the market data sourced through broker reports or web-based applications. Studying the demographics to understand the unit mixes, interpreting all sources of incomes & expenses through review of cash flows, ascertaining vacancy rates & rental income using rent rolls and using NOI to calculate key liquidity ratios i.e., DSCR, DY etc. Creating investment memorandums with the deal team ahead of investment committee. Conducting due diligence prior to closing of deal as per closing checklist. Data input in pipeline tool (i.e., DealPath, Loan Tapes) as and when required. Essential Skills & Experience: Must have a good knowledge of US Real Estate Industry and Market in underwriting the CML/CRE loans across all the sectors; along with hand on experience in underwriting the Multifamily agency (Freddie & Fannie) loans. Should be aware of the US taxes for different States and Counties; along with knowledge of various rent/sales comparable to be used in accordance with subject properties. Must be well versed with concepts of Cap Rate/Index rate/ LTC/LTV/Spreads/Cap Stack, Implied vs Cash Equity and various loan specific terminologies. In addition, should know the implications and effect of UW In-place and Mark to Market assumptions using property financials and its demographics through broker provided offering memorandum. Candidate should have the knowledge of US Market and Sub-Market to understand the deal’s demographics and its impact on the subject property. Hand on experience and proficient in preparing the dynamic financial models in MS excel. Master’s degree – Major in Finance or Banking and Capital Markets, CFA designation a plus. Exceptional quantitative aptitude and skill set with a mastery of Microsoft Office applications. Ability to manage multiple priorities in a fast paced, fluid environment. Previous background with real estate lending required with Debt Underwriting’ in real estate preferable. Rigorous analytical mindset with a high level of intellectual curiosity and excellent problem-solving skills. Acute focus on attention to detail, accuracy, and data validation. Effective communication skills (listening, verbal, and written). Excellent interpersonal and teamwork skills. Sound judgment and discretion. Strong initiative, energy and confidence completing assignments with limited supervision.

NHS HIGHLAND National Treatment Centre - Highland, Inverness Campus Clinical Fellow / St1 Department Of Ophthalmology Salary £45,504 - £60,199 per annum, plus banding supplement. 1 Year Fixed Term We are looking for a Clinical Fellow to compliment the Ophthalmology Department based at the National Treatment Centre – Highland located at the Inverness Campus. The post is fixed term for 1 year. The successful candidate will join a team of 12 Consultants. In addition, the Ophthalmology Medical Department comprises one Associate Specialist, 2 Specialty Doctors, 3 Ophthalmology residents, and one Glaucoma Clinical Fellow. Current subspecialty interests provided by the department include Glaucoma, Vitreo-retina, Oculoplastics, Paediatrics, Neuro-ophthalmology, Cornea and Medical Retina. Our unique geography requires innovative development in virtual clinics and telemedicine to meet the clinical need and standardised best quality of care. The unit has three Heidelberg Spectralis OCT scanners, a Kowa and Eidon non-mydriatic camera, Topcon specular microscope, Zeiss Humphrey VF analysers, Reichert ORA and iCare tonometers, Pascal laser, Belkin Direct SLT laser, YAG laser and micropulse and cyclodiode lasers. Outpatient care is via either traditional Consultant-led clinics, Optometrist-led shared care clinics or virtual clinics dependent on patient risk stratification. We have 3 Ophthalmology theatres in the NTC-H. The Ophthalmology Department in Inverness also provides peripheral services in Orkney, the Western Isles, Wick, and Fort William and we undertake commissioned activity from other Health Boards as set out in the annual delivery plan commissioned by Scottish Government for cataract operating. Inverness is the capital of the Highlands and enjoys a lifestyle and environment only dreamt of in other parts of the country, offering a range of leisure and sporting opportunities, good quality affordable housing and excellent schools. Raigmore Hospital is a modern well-equipped district general hospital with approximately 454 beds on the other side of the A9 from NTC-H. Job Reference: MS14 218544 Closing Date: 20/06/2025 NHS Scotland is committed to encouraging equality and diversity among our workforce and eliminating unlawful discrimination. The aim is for our workforce to be truly representative and for each employee to feel respected and able to give their best. To this end, NHS Scotland welcomes applications from all sections of society. PLEASE NOTE - You should apply for this post by completing the application process on Job Train. We suggest you use Internet Browser "Google Chrome" or "Microsoft Edge" DO NOT upload a CV as this will not be used for short listing purposes. Once you have submitted your application form you will be unable to make any amendments. Show more Show less