554 Predictive Modeling Jobs - Page 5

PositionDecision Scientist Roles and Responsibilities:- Regular analysis of the transaction and customer behaviour data to identify the key fraud trends and develop strategies to prevent the fraud and reduce genuine customer impact. Develop key fraud metrics across different merchant categories and communicate portfolio trends with the respective stakeholders. Support ad hoc analytical projects. Interact with cross functional teams (product, tech, operation, compliance, business) to develop fraud risk solutions. Proactively identify opportunities to enhance the current fraud risk management process. Explore new tools and features for better fraud prevention. Work closely with the business team in developing strategies for the new product launch. Skills and Qualifications:- Bachelor’s in engineering or Master's degree in Management, Maths, Statistics or related quantitative discipline. You must have 3+ years of experience in data analytics / risk analytics / business analytics. Proficient in SQL. Should be able to write queries to manipulate and consolidate data from multiple data sources. Excellent Excel skills. Strong quantitative abilities, distinctive problem-solving and excellent analytical skills. Strong organisational, communication, presentation and project management skills. Good working knowledge of programming languages like Python, R, SAS. Theoretical and practical knowledge of statistical techniques such as regression, segmentation, forecasting. Working experience with BI tools (QlikView/Tableau/PowerBI/ QlikSense etc) will be an added advantage. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

About the Team- The PhonePe T&S Decision Sciences team is a part of the Trust & Safety team which is a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis. As a key member of the PhonePe T&S Decision Sciences team, you will spearhead significant data driven projects focused on safeguarding the platform for merchants and detecting abusive behaviors. If you're passionate about developing processes and digital tools to enhance the understanding of financial transactions and identify impactful trends affecting millions of customers and merchants, and if you’re eager to collaborate with top professionals to turn your vision into reality swiftly and purposefully, we invite you to join us! Roles & Responsibilities: Own the fraud, risk and abuse for the entire platform across all BU and fraud MOs Guide and mentor the team to develop strategies to detect, action and resolve end to end risk across the platform and stakeholders. Align senior leadership across the platform with T&S goals and objectives. Supervise, lead and align teams to meet overall T&S goals. Work closely with the Engineering, Business, Operations, Product, Data Science teams to build capabilities that help with prediction, early detection, quick resolution and governance solutions. Manage a diverse set of requirements, assess their importance, and prioritize them based on business objectives and available resources. Evaluate trade-offs involved with every decision and articulate with supporting data to enable decision making for senior leaders. Establish processes and frameworks team efficiency and productivity. Analyze data to detect fraud patterns and conduct a root cause analysis and execute short term and long term resolutions for the team. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas. Education & Preferred Qualifications: include, but are not limited to: Bachelor’s in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline 10+ years of experience working closely with data and data derived decision making, communicating and contextualizing complexity to business leaders to enable the decision making. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills Strong organizational, communication, presentation and project management skills Ability to work independently and to liaise with other departments and coordinate with various business stakeholders (internal / external). Candidates should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics Experience in developing and implementing successful fraud prevention and detection strategies will be a plus PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

The Data Analyst will support the organization's data management and governance initiatives by analyzing data, resolving issues, and ensuring compliance with policies and standards. This role focuses on ensuring data accuracy, monitoring data handling processes, and contributing to the continuous improvement of data management practices. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for problem-solving. About the Role : In this opportunity, As a Data Analys you will Assist in adherence to Data Management Policies and Procedures, contributing insights and updates for process improvements. Analyze and monitor in-scope data questions, issues, and requests, ensuring timely and accurate resolutions. Conduct preliminary Data Risk and Control Assessments to identify potential issues and suggest remediation steps. Support efforts to align data handling practices with applicable laws, regulations, and internal guidelines. Collaborate with stakeholders from Business, Customer Segments, and Data & Analytics teams to ensure data consistency and alignment. Provide support in team collaborations to create value through efficient data management processes. Track and report on Key Performance Indicators (KPI) and Key Risk Indicators (KRI) to help measure and improve data governance effectiveness. Escalate unresolved issues or roadblocks to appropriate team members for further action. About you: You will be fit for the role, if your background includes Bachelor's degree in Data Analytics, Information Systems, or a related field. 4-6 years of experience in data analysis, data governance, or related fields. Basic knowledge of data governance frameworks, risk management, and compliance standards. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Knowledge/experience in Alteryx preferred Expert level Excel user #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson ReutersDo you have a passion for ensuring AI systems are robust, reliable, and responsible We are looking for a highly motivated individual with strong analytical and technical skills for the position of AI Validation Engineer. You will play a critical role in evaluating the performance, accuracy, and fairness of our AI solutions, including the AI Assistant and its associated skills. You will help ensure that our AI systems meet the highest standards of quality and align with our responsible AI principles. About the Role In this opportunity as AI Governance and Ethics Engineer, you will Collaborate with data scientists, AI engineers, and product managers to understand AI system requirements and functionalities. Develop and execute comprehensive test plans to assess the performance, accuracy, robustness, and fairness of AI models and applications. Design and implement automated testing frameworks for efficient and continuous AI validation. Analyze AI model outputs, identify potential biases, errors, or limitations, and provide actionable feedback to the development team. Contribute to the development and implementation of responsible AI guidelines and best practices within the organization. Stay abreast of the latest advancements in AI validation techniques and technologies. Document testing procedures and results clearly and concisely. Collaborate with stakeholders to address and resolve identified AI validation issues. About You You're a fit for the role of AI Governance and Ethics Engineer if your background includes Act as a model governance consultant and educator on model projects Ensure end-end model flows within these projects are aligned and controlled effectively Ensure that Policies, Standards and Guiding Principles are applied within the solution designs Work with cross-functional model stewards to monitor and manage model health within your portfolio Take ownership of the model issue management and resolution process within your portfolio Collaborate with members in the business domains to encourage and ensure Responsible AI practices, processes and procedures are followed Drive education/behavioural change in the wider TR community, towards a de-centralized data rights & responsibilities culture Work with the compliance partners (Operations & Assurance, Policy & Ethics, Stewardship, legal) to draft or amend policies, standards and model control proposals, to meet business model needs Work with the Ai Enablement team to drive best practices and compliance with model policies and standards within your portfolio Identify opportunities to improve efficiencies, advancements and automation #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Date 10 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. Youll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, youll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. Youll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. Well look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

JOB SUMMARY This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. RESPONSIBILITIES Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. QUALIFICATIONS Requirements: Ability to take a data science problem from start to finish, use pytorch/tensorflow to build the full model product. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Expertise in R, SQL, Python. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Preferences: Familiarity with Java or C++

About The Role Grade M1 to M3 Reports to: Head Analytics Is a Team leader? No Team Size: -- Role Business Analyst/Sr Business Analyst Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analysis and Insights Specialist. In this role, you will be responsible for analyzing complex datasets, extracting meaningful insights, and proposing actionable recommendations to optimize processes and decision-making. Your ability to conduct thorough cost-benefit analyses and effectively communicate findings to stakeholders will be crucial in driving informed business strategies Key Responsibilities Data Analysis & Insights Generation Utilize statistical techniques to interpret data, identify trends, and uncover insights that drive operational efficiencies and strategic decision-making Derive actionable insights from data analysis to address business challenges, improve performance, and capitalize on opportunities Cost-Benefit Analysis Conduct comprehensive cost-benefit analyses to evaluate proposed solutions and ensure alignment with organizational objectives and financial goals Develop well-supported recommendations based on data-driven insights and cost-benefit assessments, ensuring clarity and feasibility Continuous Improvement Stay updated with industry trends, best practices, and evolving analytical techniques to enhance data analysis capabilities and contribute to continuous improvement initiatives Stakeholder Communication Present findings, recommendations, and analyses to stakeholders in a clear, concise manner, fostering understanding and buy-in for proposed solutions Qualifications MBA Finance or MBA Business Analytics with up to 2.5 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & Powerpoint Python/SAS & SQL Insight generation Strong Communication & Presentation skills CBA or Impact Analysis Good to have Skills BI tools (Tableau/PowerBI) Cloud Data Analytics solutions (Sagemaker/Azure) Cloud Data warehousing solutions (Redshift/Snowflake)

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"™s Audit plan for the calendar year. "¢ To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. "¢ Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. "¢ Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) "¢ Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. "¢ Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries "¢ Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) "¢ Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. "¢ Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"™s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"™s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. "¢ Person who can work alone, close audits and manage stakeholders "¢ Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"™s degree mandatory). "¢ A Bachelor"™s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: "¢ Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. "¢ Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technica Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Company: Marsh Description: We are seeking a talented individual to join our Risk consulting team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office We will count on you to: Proactively review all claims (new and old) and establish a plan of action to achieve a favourable claims resolution. Obtain and compile requested loss run data. Analyse data to identify trends and actionable insights. Gather claim-specific details, including claim numbers, adjuster information, and claim statuses. Provide up-to-date status reports on claims. Acknowledge and report on excess claims as necessary. Develop PowerPoint presentations for internal and external stakeholders. Conduct research on relevant topics and present findings. Design and generate surveys to gather stakeholder feedback. Prepare executive summary reports for claim reviews. Facilitate the closure of open liability claims in mClaim. Create and maintain a defence attorney reference database, categorized by jurisdiction. Analyse data lakes to generate insights and KPI reports for performance monitoring. What you need to have: 6-8 years of experience in the General Insurance domain across different types of claims, claims lifecycle and claim data. Graduate or masters in commerce or business administration or any equivalent education programme in Insurance domain. MS Office proficiency (Word, Excel, Outlook, PowerPoint). Strong Excel proficiency. Strong verbal and written communication skills - excellent email writing skills. Must be comfortable with working on new age data management tools What makes you stand out Strong persistence and follow-up skills. Knowledge and experience of resolving complex claims across a variety of relevant business lines Proficient in data analytics tools, with a strong ability to derive actionable insights from complex datasets. Multilingual capabilities, enabling effective communication and collaboration in diverse environments. Experienced in working with AI models, leveraging advanced technologies to enhance decision-making processes. Proven track record of collaborating with offshore colleagues, fostering teamwork and driving project success across geographical boundaries Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you Job Summary: We are seeking a dynamic and experienced leader in field of AI & Advanced Analytics to lead our AI/ML initiatives and drive transformative projects across our grid technology organization. The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a proven track record of delivering innovative solutions that align with business objectives in the energy sector, particularly in transmission planning and operational studies. Your new role – challenging and future- oriented Lead the AI/ML practice, providing technical leadership and strategic direction for AI initiatives. Oversee the end-to-end deployment of AI/ML projects, ensuring timely delivery and alignment with business goals. Collaborate with cross-functional teams to align AI/ML projects with key business functions in our digital grid business, with major stack holders as engineering, project operations, and senior management. Utilize programming languages and tools such as Python, R, SQL, MATLAB, and cloud platforms (AWS) to deliver data-driven solutions. In addition, support in execution of steady-state and dynamic contingency analyses using power flow models (PSSE, PowerFactory, PSCAD, VSAT, TSAT, or Powerworld). Designs and performs production cost modeling studies to accomplish economic transmission planning under the direction of a senior level engineer or management. Support development of improved models for transmission planning and market forecasting processes. Assists in providing input and analyses from the planning perspective on market/protocol design issues. Assists in providing market simulation/forecasting and transmission planning analyses to support other activities in grid technology business. Communicate complex technical concepts to non-technical stakeholders effectively. Lead and manage international teams, ensuring effective collaboration and knowledge sharing . We don’t need superheroes, just super minds Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. Minimum of 8-10 years of experience in AI, machine learning, and advanced analytics, with a focus on the energy sector, especially the transmission business. Proficiency in programming languages (Python, R, SQL) and data analytics tools (Pyspark, Databricks). Experience with deep learning frameworks (Keras, TensorFlow, Pytorch) and cloud computing (AWS). Prior experience in transmission planning and operational studies (100 kV ~ 765 kV), power system performance analyses including steady state analysis, dynamic stability, voltage stability, protection coordination and control system. Prior experience in power system simulation programs (e.g. PSS/E, TARA, PSLF, DigSilent PowerFactory, ETAP, PSCAD/EMTDC, MATLAB/Simulink) An analytical and strategic mindset, always eager to explore and implement innovative solutions and applying problem-solving skills within a consulting environment. Experienced in product development and process improvement. Past track record of driving significant business outcomes through data-driven solutions. Strong leadership and mentorship abilities. Excellent communication and interpersonal skills. Analytical and strategic mindset, with a passion for exploring and implementing innovative solutions. We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

: Job Title- Name and Transaction Screening Model Strats, AVP Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team and lead a team of 5 Associates to support a global model strategy and deployment of Name & Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. You will work in a collaborative global team and focus on people development and career growth. The purpose of Name & Transaction Screening is to identify and investigate clients and customer transactions that come into scope per sanctions screening requirements, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. Reporting to the Name & Transaction Screening Lead within Trader and Client Control Strats, you will be responsible for implementing and maintaining the models for Name & Transaction Screening. You will help ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Assistant Vice President with 5+ years of experience in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name Screening (NLS) & Transaction Screening (TS). This role offers the opportunity to drive key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will drive model tuning and development efforts, support regulatory deliverables, and collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Model Development & Tuning Manage a team of 5 Associates to support the design and calibration of models for NLS and TS systems, ensuring optimal detection quality and manageable alert volumes. Support data exploration, feature engineering, and statistical analysis to inform tuning strategies. Document model logic, decisions, and outcomes in line with governance and validation standards. Project Engagement Contribute to specific model projects, from requirements gathering through to development, testing, and implementation. Coordinate small teams or working groups for agile delivery, working with developers, QA, and operations stakeholders. Performance Monitoring & Validation Support Monitor model performance metrics and investigate anomalies in production environments. Partner with model validation and internal audit to respond to queries and provide supporting analysis. Stakeholder Engagement Liaise with regional Compliance teams and operational users to gather feedback on model effectiveness. Contribute to presentations and technical reports for governance forums and senior stakeholders. Process Improvement Contribute to continuous improvement of the model development framework and documentation standards. Proactively identify opportunities for automation, efficiency, or application of advanced analytics. Your skills and experience Experience: 5+ years in model development, risk analytics, or quantitative compliance, preferably within financial crime or sanctions screening. Familiarity with financial crime systems (e.g., Actimize, Fircosoft, or equivalent platforms) and regulatory frameworks (e.g., AMLD, OFAC, FCA guidance). Technical Skills: Recent and relevant hands-on experience in SQL, Python for data analysis and model development. Strong Excel and data visualization skills; experience using Power BI or Tableau is a plus. Understanding of statistical techniques such as threshold optimization, precision/recall, ROC curves. Soft Skills: Strong analytical and problem-solving abilities. Ability to communicate complex technical content to non-technical stakeholders. Highly organized, with strong attention to detail and documentation quality. How well support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs 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.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Oil & Gas Secondary Distribution Good to have skills : Energy FundamentalsMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Oil & Gas Secondary Distribution- Good To Have Skills: Experience with Energy Fundamentals- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP for Oil & Gas Secondary Distribution- This position is based at our Hyderabad office- A 15 years full-time education is require Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Responsible for the development and implementation of predictive modeling algorithms and techniques to solve unmet needs, customer/business problems and optimize user experiences Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services. Predictive AI Modeling: Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems). Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights. Prepare data for effective model training. Develop, train, and evaluate predictive AI models using various tailored to specific problems. Continuously refine and optimize models for performance, scalability, and efficiency. Deploy models into production environments and monitor their performance. Generative AI Modeling: Identify opportunities where generative AI models can add value Explore and experiment with generative models (e.g., GPT) suitable for the chosen application. Train and evaluate generative models, fine-tuning parameters for desired outputs. Integrate generative models into production workflows or applications. Work with datasets of varying degrees of size and complexity including both structured and unstructured data Implements batch and real-time model scoring to drive actions Develop sophisticated visualization of analysis output for various users through JavaScript based frameworks React/Angular/VueJs etc. or using OOPS C#, Java

Plan and conduct financial audits to ensure compliance with established company policies and all legal requirements for group operations. Conduct internal audit visits to corner offices worldwide to track system improvements and outstanding issues.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

The Global Data Insights and Analytics (GDIA) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. Were a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you wont be stuck in a cubicle - youll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isnt just encouraged, its ingrained in our DNA. What we are looking for: As the Sr. Engagement Lead, you ll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you ll do: Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges. Collaborate with clients to model data and solve complex business issues. Analyze to aid strategic decision-making, utilizing tools like Tableau, SAS, R, and Alteryx Develop tailored healthcare analytics solutions to improve patient outcomes and cost management. Gain a comprehensive understanding of data and processes to deliver impactful outcomes. Work with clients to structure and model the data to solve complex business problems Develop and implement innovative solutions along with coaching, guiding, and mentoring Sr Analyst/ Associate Engagement Leads/ Engagement leads in the team. Must have: Candidates with a Bachelors degree in Engineering and 8+ years of strong analytics experience. Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, segmentation, Forecasting, Sizing, Alignment, Marketing Mix Model, Targeting, and analyzing large datasets to derive insights and make data-driven decisions. Ability to work on and manage multiple projects for multiple stakeholders, with a quality mindset. Deep understanding of their Industry, including market trends, regulatory frameworks, and competitive landscapes. Excellent verbal and written communication skills, essential for effective collaboration. Proven ability to work creatively and analytically with minimal direction.

Data Science - Forecasting - 5+ Years - Gurgaon We are looking for a professional who has good command over Time series forecasting as Data Scientist with proficiency over Python and SQL or Azure. Your Future Employer : - You will be working with a prestigious organization known for its commitment to diversity, equality and inclusion. They offer a dynamic work environment, opportunities for career growth, and a supportive team culture. Location : - Gurgaon Responsibilities Superior analytical and problem-solving skills High Proficiency in Python Coding along with good knowledge of SQL Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy etc. Proficient hands on experience over using NLP. Deep rooted knowledge of Traditional Machine Learning Algorithms & Advanced modelling techniques (e.g. Time series forecasting and analysis etc.) and Text Analytics technique (NLTK, Genism, LDA etc.) Must have hands on experience of building and deploying Predictive Model. Requirements Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 5-10 years experience of working as a Data Scientist Strong and in-depth understanding of statistics, data analytics Superior analytical and problem-solving skills Outstanding written and verbal communication skills What is in it for you: - A stimulating work environment with equal employment opportunity. Work in a fast-paced environment in established brand. Grow in a culture focused on training and mentoring. Reach us: If this role is aligned with your career, kindly write me an email along with your updated resume at aayushi.goyal@crescendogroup.in for a confidential discussion on the role. Disclaimer: Crescendo Global in specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status. Note: We receive a lot of applications daily, so it may not be possible to respond to each one individually. Please assume that your profile has not been shortlisted if you don't hear from us in a week. Thank you for your understanding. Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert! Profile Keywords: Data science, Data scientist, Python, SQL, Statistical Modelling, NLP, Machine Learning, Power BI Stochastic Modelling, GLM / Regression, Random Forest, Boosting, Trees, Text Mining, Demand Forecasting, Time Series

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc. ; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc. ; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness