1151 Statistical Modeling Jobs - Page 22

Role specific skillsets: Strong business process (Sales and Retailing)and technology analysis skills - ability to understand MD&D/ similarindustry and customer requirements Take the lead on distributor onboarding activities (Interviewing the dealer, Requirement gathering, Gap analysis, coordinating with various stakeholder, UAT, Dealer Agreement Signoff, User Access Management, Documentation, Go-Live and Support) Manage & tracking customer incidents/ new requests Handholding customer resolving the issues through Phone, chat Remote Desktop, and email communication channels as per the agreed SLAs Provide the necessary training to the distributor as per the need Data analysis skills - ability to interpret data and reports for business requirements Partner with Technical Support team members on various strategic projects when needed Run monitoring reports for usage, performance, and/or availability. Manage the master data for Dealer Core Competencies: Service Orientation - Should be aware of both - the internal as well as external customers and their needs; and is committed to meeting the customers evolving, long-term needs - the focus is on SERVICE ResultOrientation - Should be able to direct efforts towards developing andimplementing realistic action plans to meet business objectives; with a senseof urgency - the focus is on achieving RESULTS Initiative - Onemust not only understand and accept the responsibilities towards his/her job;but also proactively works towards identifying challenges and its resolution -the focus is on seeking SOLUTIONS Professionalism- Shouldhave in-depth knowledge of all functions and displays not only required skill-set, but also ethics and integrity while conducting the job - the focus is on PROFESSIONALISM Cooperation- One must ensure completion of all tasks at hand and simultaneously extends support to team members and displays joint ownership towards achieving business objectives - the focus is on TEAMWORK Communication/Feedback- Should believe in providing feedback to other associates and receiving feedbacks to enhance performance, thereby meeting business objectives - the focus is on OPENCOMMUNICATION Other Benefits: Medical Insurance (self-coverage): Includes Group Mediclaim policy and Group Personal Accident Policy. Long Term Investment & Engagement Plan: This is an employee incentive plan introduced to encourage, reward, and incentivize eligible employees towards long-term engagement, to optimize their performance and enable them to partake in the growth of the Organizationand further its best interests. DESIREDCANDIDATE PROFILE: Any Bachelor s Degree 0 - 2 years of relevant experience in L1 customer support (voice and email), with a strong customer interaction experience Should understand the Retail business including supply chain fundamentals and organizational hierarchy Passion to be a part of a smart working and winning team Ability to multitask in a fast-paced environment Excellent ability to learn and articulate software-related and technical concepts Strong active listening skills and excellent written and oral communications skills (English and Hindi) Strong attention to detail when communicating with customers (verbal & written) Ability to empathize with customers and convey confidence Expertise working with Microsoft Excel and Reporting Tools Strong documentation skills Strong interpersonal and soft skills

Role & responsibilities The Assistant Manager/Deputy Manager is primarily responsible for using analytics tools to perform unstructured problem solving and in-depth analysis of programs and opportunities in the collections business. You will make recommendations to improve the business profitability or operational processes based on their analysis and design strategies to implement those recommendations. The role is also responsible to own syndication of findings with VP level leaders globally and manage implementation with support. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Education: Bachelor's/Masters with strong and consistent academic record in engineering, quantitative or statistical field.. 2.5 to 7 years' experience in analytics or consulting including 2+ years in Financial Services. Expert knowledge of Azure / Python incl. Pandas, Pyspark / SQL. Demonstrated experience in unstructured problem solving and strong analytical aptitude. Advanced use of MS Office (Excel, PowerPoint). Strong Communication (Written and Verbal) Storyboarding and Presentation Skills Project Management. Ability to multitask. Need Excellent Communication skills.

JOIN US AS A LEAD SYSTEMS ANALYST About the company: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. PRIMARY FUNCTION: At Target in India, our Tax Technology team plays a crucial role in enabling efficient and accurate compliance with US Sales and Use Tax (SUT) regulations. By collaborating closely with the Tax, Product and Tech teams in the US, this team leverages innovative technologies and advanced analytics to enhance operational efficiency and support seamless tax compliance processes. As a Lead Systems Analyst, you will own the compliance data integration, transformation, and load processes, ensuring accuracy, efficiency and seamless operations. You will provide strategic oversight of tax systems, proactively identify improvement opportunities and partner closely with cross-functional teams to enhance automation and analytics capabilities. In addition to SUT, this role will explore opportunities to support income and property tax technology needs. Your leadership in evaluating processes, defining technology-driven solutions and driving execution will be key to optimizing tax operations. This role will also focus on the below areas Lead and oversee the data integration and compliance load processes, ensuring flawless execution, accuracy and efficiency while proactively driving solutions and driving continuous improvements. Drive transparency through documentation and reporting of compliance related issues, identifying trends and working with management to implement corrective actions and long-term enhancements. Act as a strategic partner between Tax, Product and Tech teams to address queries, provide analysis and resolve challenges related to compliance load process, workflows, Vertex returns, SSAS etc. Drive the configuration, testing and validation of tax system updates and integrations to ensure seamless operation and compliance. Establish and enforce data quality controls, ensuring the integrity, accuracy and completeness of tax related data through rigorous analysis, reconciliation and validation. Design and implement Alteryx workflows, leverage tools / language such as SSAS, SQL etc. to streamline tax processes and improve analytics capabilities. Apply innovative solutions including generative AI, machine learning and RPA to automate repetitive tasks and enhance accuracy in tax reporting. Continuously look for opportunities to improve, automate and enhance existing processes for efficiency. Collect and organize required data for audit requests ensuring accurate and timely submissions. Respond to requests for reporting and data from tax users to support sales, income, and property tax compliance and analytics needs. Working within Tax, your mission will be to drive value-added work and support our core retail business goals. Our tax team focuses on all aspects of tax reporting including enhancing productivity and efficiency of core compliance through process and technology, monitoring tax risk and opportunities across all tax disciplines, engaging and educating Finance and the broader organization regarding tax considerations, and prioritizing team resources to support key work streams. 8+ years of experience in tax technology or systems analysis, preferably within a large corporate tax department or consulting firm, with a focus on SUT compliance. Bachelors or Masters degree in Taxation, Finance or Information Systems or an equivalent combination of professional education and experience. Proficiency with tax technology tools and applications including Vertex O-Series, Vertex Returns, Alteryx, SQL and RPA with experience in using these tools to streamline tax compliance, automate workflows and enhance data accuracy and reporting. Experience working on ERP systems (e.g. SAP) and data visualization tools like Tableau or Power BI. Proven ability to collaborate with cross-functional teams, acting as a liaison between Tax, Tech and Product teams to resolve queries and enhance processes. Familiarity with machine learning, generative AI and statistical modeling is a plus. Prior experience of working for a retail organization is strongly preferred. Excellent communication and strong interpersonal skills, as well as the ability to work independently with limited direction and guidance A proactive mindset and keen analytical ability, attention to detail, and the ability to meet tight deadlines.

: Job Title Model Validation Analyst - Derivative Pricing LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleCDO/CLO Modeling Analyst LocationBangalore, India Role Description OverviewBusiness Division Deutsche Banks Corporate Bank (CB) a market leader incash managemnet, trade finance & lending, securities services and Trust & Agency Services. Focusing on the treasurers and finance departments ofcprporate and commercial clients and financial institutionsacross the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. OverviewBusinessTrust and Agency Service (TAS) With offices in New York, California, London, Frankfurt, Milan, Lisbon, Dublin, Hong Kong, Singapore and Tokyo, the Trust and Agency Services team at Deutsche Bank has long been recognized as a leader in the provision of administrative and fiduciary services to the global debt and equities markets. It supports structures from the simplest to the most complex, covering Asset Backed Securities, CLOs and Managed accounts, Corporate Debt, Escrows, Project Finance, Loan Agency, and Depositary Receipts. OverviewTeam The Trust & Agency Services (TAS) Corporate Trust Structured Finance Services business provides Trustee, Calculation Agent, Paying Agent, Custodian, and Tax Agent Services globally for all Structured Finance transactions (RMBS, ABS, CMBS, and CDO/CLOs). The Global Analytics Delivery (GAD) Group at DIPL is responsible for modelling and reporting (payment processing and tax calculations) of MBS, ABS and CDO Deals/issuances placed in the US, EMEA & Asian Capital Markets. The Asset Analytics team, which is a subgroup of GAD Group, provides analytics support to the Client Services Group in generating asset Compliance Reports relating to the CDO transactions for onward submission to the Collateral Manager/ Investors as required under the Governing Documents. The Reports need to be generated monthly and contain information about the health of the underlying collateral through reporting on compliance test results vis--vis their triggers. The successful candidate will be required to cover European working hours supporting the EMEA/Americas business. Corporate title will depend on the relative experience of candidate. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Read and interpret governing legal and issuer documents namely Prospectuses/Offering Circulars, Bond Indentures and Pooling and Servicing Agreements, Hedging Agreements, etc. Model various collateral compliance tests in SOLVAS Platform Model Crystal report based on the Document requirements Analyse gaps between the Document requirements and the system functionality, arrive at and implement a workable workaround solution in case of a gap Use SQL for issue analysis, creation of customized calculators and adhoc requirements Perform Self Review of the Compliance Model and Reports to ensure quality Understand and analyse Client issues on existing Models and offer effective solutions Provide active support for testing of new functionalities and perform regression testing in case of system releases Support ad hoc/ special projects for process improvement and implement technology initiatives Coordinate and liaison with on-site Team in Santa Ana, California and London Your skills and experience Bachelor of Science/Engineering or qualified CA/CFA with a high GPA and a minimum of 2 years of professional experience Good Knowledge of Relational Databases/SQL (able to understand and write complex queries) Knowledge of wide range of financial products Able to learn new concepts quickly and independently with strong motivation for developing new skills and understanding financial product. Able to demonstrate a logical approach to problem solving Highly numerate with excellent attention to detail is essential Possesses positive attitude and strong commitment to delivering high quality work Able to handle multiple and often competing projects and work under tight deadlines and pressure. Must have a Customer/ Client service focus Innovative and proactive Must be organized, focused, and possess strong communication skills Demonstrated ability to work and think independently, while supporting team goals/objectives Self-starter, responsible and highly committed, strong analytical and logical reasoning (handy for interpretation of logical statements embedded in legal documents) Should be ready to work in UK hours. Additionally, based on business requirements, the incumbent should be willing to work extended hours Experience in legal document interpretation (Preferred) Knowledge of Crystal Programming (Preferred) How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and data visualization. Experience with analytical tools such as Excel, SQL, or programming languages like Python or R. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions. Ability to prioritize multiple tasks and projects in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!

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. Transformation STAR Analyst Primary Responsibilities Anticipate customer needs and proactively identified solutions Provide insight into areas of opportunity on metrics and / or the efficient use of resources using data both internally as well as with our vendor partners Utilize models, dashboards, processes to facilitate awareness and understanding both within the workforce teams as well as the operational business units they support Plan, prioritize, organize, and complete work to meet established objectives Find creative solutions to complex problems through data management and analytics Communicate strategic plans, trends and volume expectations for internal and vendor populations Anticipate customer needs and proactively identify solutions Make decisions autonomously with little direction to identify/solve complex problems 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 2+ years of experience in service operations center, call center or Workforce Management 1+ years of experience with Workforce Management software (such as IEX, Aspect, Workforce Management IEX, Blue Pumpkin) 1+ years of experience leading or managing projects 1+ years of statistical analysis experience Preferred Qualifications Undergraduate degree 1+ years of experience working in systems administration, logistics, demand planning, or reporting 1+ years of experience working with financial models/budgets Experience scheduling, conducting planning meetings, and managing capacity Health care industry experience 1+ years of SQL coding 1+ years of Tableau utilization Demonstrated Skills: Analytical skills Statistical modeling experience Excellent written and verbal communication Presentation skills Advanced understanding of Excel Negotiation or influence and relationship management skills Be a solid change agent and resilient to roadblocks Bias toward action Solve complex problems on own; proactively identifies new solutions to problems 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. #njp #SSWFM External Candidate Application Internal Employee Application

Key Responsibilities: Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications: 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI.

Key Responsibilities: Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications: 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI.

Key Deliverables: Lead end-to-end development of scalable ML models and data solutions Implement MLOps workflows for versioning, deployment, and monitoring Design and conduct A/B testing and statistical analysis for insight generation Optimize large-scale data pipelines and ensure model performance in production Role Responsibilities: Collaborate with cross-functional teams to deliver high-impact AI projects Apply deep learning, reinforcement learning, or ensemble methods as needed Utilize cloud platforms and container tools for scalable model deployment Translate business problems into data-driven solutions with measurable outcomes

Key Responsibilities: Apply statistical methods to analyze large datasets. Develop and interpret statistical models to inform business decisions. Provide actionable insights based on statistical analysis. Required Qualifications: 3+ years of experience as a statistician or data analyst. Strong knowledge of statistical software (e.g., R, SPSS, SAS). Excellent analytical and problem-solving skills.

Title : Data Science Lead (Credit Risk & Analytics) - Chennai/Bangalore (Hybrid) We're searching for a passionate Data Science leader to head up a talented team and revolutionize our client's understanding of credit risk. You'll leverage your expertise in advanced analytics, machine learning, and credit risk to develop intelligent solutions that drive business impact. What You'll Do: Guide and empower: Lead and mentor a team of data scientists and analysts, fostering their growth and expertise. Uncover hidden insights and business findings: Analyze diverse data sources, including customer data, cases, and stakeholder feedback, to extract valuable insights. Bridge the gap: Collaborate with business partners to design and implement data-driven solutions that tackle emerging business challenges. Automate for success: Develop intelligent, scalable, and automated solutions using your data science skills. Tech-savvy collaboration: Work with other technology leaders and engineers to define requirements and prioritize capabilities based on data analysis and business needs. Project ownership: Independently lead analytics and data science projects, setting goals, estimating benefits, and managing timelines. Communication is key: Clearly communicate complex findings and actionable outcomes to leadership, peers, stakeholders etc.. Who You Are: Data Science Rockstar: 4+ years of experience in advanced analytics, statistical modelling, and machine learning. Experience in Credit Risk: In-depth understanding of the credit risk lifecycle, from origination to debt collection in the lending domain(b2c).- ***Non-Negotiable*** Tech know-how (must): Proficiency in Python, SQL/NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise. Always Learning: Continuously seeks out new knowledge, ideas, and feedback to build personal expertise. Leadership & Communication: Strong organizational skills, follow-through, and exceptional written, verbal, and interpersonal communication. Problem-Solving Powerhouse: High emotional intelligence, can-do attitude, and creative approach to solving problems. Self-starter: Takes ownership, drives projects with minimal guidance, and focuses on high-impact work. Education: Preference would be given to premium educational institute candidates Bonus Points: Collections and Digital Channels experience. Big data and cloud computing experience (Spark, Hadoop, MapReduce, PIG, HIVE). Prior Credit Risk and Credit score domain experience. Location: 1st Preference Chennai/ 2nd Preference Bangalore (Hybrid work model)

We are looking for a skilled Senior Manager - Risk Analyst to join our team in Mumbai. The ideal candidate will have 3-6 years of experience and an MBA from a reputed institute, with excellent data understanding and analytical skills. Roles and Responsibility Develop, implement, and review credit risk models and associated frameworks in unsecured rural/semi-urban lending. Implement and monitor credit risk strategies across the lending life cycle, including acquisition, underwriting, cross-sell, and collections. Periodically review portfolios across various risk metrices to identify early warning signals and analyze portfolio trends to track quality on accepted risk parameters. Ensure timely reviews of risk policies to reflect the dynamic external environment and internal risk appetite. Analyze industry data, prepare MIS/Dashboards, and inform senior management about market conditions. Regularly visit branches to evaluate portfolio quality and adherence to policy norms. Coordinate with internal teams such as Quality Control, Product, Business, IT, and Data Science to strengthen the risk framework. Job An MBA from a reputed institute is required. 3-6 years of experience in managing risk in a Bank/NBFC. Excellent data understanding and analytical skills, with advanced Excel knowledge. Sound knowledge of statistical models. Experience in microfinance/inclusive finance is advantageous. Strong coordination and communication skills are necessary.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . experience in data science, machine learning, AI applications, and generative AI modeling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

We are looking for a highly skilled and experienced Manager - Risk Analyst to join our team in Mumbai. The ideal candidate will have 3-6 years of experience in managing risk within the banking or NBFC industry. Roles and Responsibility Develop, implement, and review credit risk models and associated frameworks for unsecured rural/semi-urban lending. Implement and monitor credit risk strategies throughout the lending lifecycle, including acquisition, underwriting, cross-sell, and collections. Periodically review portfolios across various risk metrics to identify early warning signals and analyze trends to track portfolio quality. Ensure timely reviews of risk policies to reflect changes in the external environment and internal risk appetite. Analyze industry data, prepare MIS/Dashboards, and inform senior management about market conditions. Regularly evaluate processes for adherence to risk policies and check the effectiveness of controls. Visit branches regularly to assess portfolio quality and adherence to policy norms. Coordinate with internal teams such as Quality Control, Product, Business, IT, and Data Science to enhance the risk framework. Job MBA from a reputable institute. 3-6 years of experience in managing risk within the banking or NBFC sector. Possess excellent skills in understanding data and deriving insights, along with advanced Excel knowledge. Demonstrate sound knowledge of statistical models. Experience in microfinance/inclusive finance is advantageous. Strong analytical and problem-solving skills are essential.

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Development of next generation handwriting recognition technologies You will be working with cutting edge research going on in fields like machine learning, computational geometry and statistical modeling

Aster Medcity is looking for Research Associate.Neurology.MIMS Hospital Calicut to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.