530 Risk Modeling Jobs

Exp: Credit Risk Model Development Mandate Min: 2-8 Yrs MBA Finance preferred, FRM/CFA a plus Location: Gurgaon & Bangalore | 5 Days WFO Salary: Depends on last drawn NP: 30Days or Immediate Joiners Send CV: latika.chopra05@gmail.com Required Candidate profile Credit Risk expert with exp. in Model Development or Validation (IFRS9/IRB/CCAR/CECL) Skilled in SAS, SQL, Python, R. MBA Finance, FRM/CFA preferred Send CV: latika.chopra05@gmail.com Call: 9810996899

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :/Gurugram/Bangalore/Pune 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 dat...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad 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 innovativ...

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...

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...

Salary: 30 to 45 LPA Exp: 2 to 13 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. - Le...

In this role at KPMG in India, you will be responsible for market risk, risk modeling, and model validation. Your key responsibilities will include: - Assessing the conceptual soundness and methodology of models. - Developing tests to evaluate model methodology and assumptions. - Working with Market Risk Models such as Value at Risk, Expected Shortfall, and Pricing of various derivatives. - Reviewing pricing models based on simulations or path dependent models. - Producing high quality model validation reports, focusing on limitations, weaknesses, and assumptions. - Understanding regulations and guidelines for model risk management. - Conducting independent testing to ensure model robustness...

Responsible for Independent Model validation & performance monitoring. Evaluating model assumptions & data integrity, testing model numerical, statistical, performing outcomes analysis & reviewing model governance & control process. Required Candidate profile 4+ years of experience in statistical or mathematical role with advanced experience in financial modeling in Commercial Real Estate Advanced Excel skills and experience in basic SQL query writing

How You Will Add Value You will monitor and improve daily and weekly investment model processes. You will partner with portfolio managers to refine active and passive strategies. You will run backtests to validate proposed portfolio changes. You will implement programming solutions for portfolio management initiatives. You will manage data pipelines, including ESG-related processes. You will collaborate across investment teams to ensure seamless execution. You will maintain clear documentation of investment processes for internal use. What Will Help You Be Successful in This Role Experience, Education Certifications: Degree in Computer Science, Statistics, Mathematics, Engineering, Physics, ...

Position: Credit Risk ModelerLocation: EXL Office, Gurgaon (Hybrid - 2 days per week in office)Working Hours: 12:00 PM - 9:00 PM IST Key Responsibilities: Develop and validate credit risk models (PD, LGD, EAD)Conduct CCAR and CECL stress testingCollaborate with cross-functional teams to enhance risk assessment processes Qualifications: Proven experience in credit risk modeling, especially with unsecured portfoliosStrong analytical and problem-solving skillsIn-depth knowledge of regulatory requirements and stress testing frameworks, including CRSTExperience with capturing physical risk metrics

Job Title: Business Analyst Wealth Management / Core Banking Experience Required: 5+ Years Location: Bangalore Work Mode: Hybrid Job Description: We are looking for an experienced Business Analyst with strong exposure to Wealth Management / Core Banking domain and IT transformation initiatives. Key Responsibilities Business analysis across IT transformation projects involving Portfolio Management Systems and/or Core Banking applications Requirement gathering, documentation, gap analysis, workflow mapping Coordination with cross-functional and multicultural teams (Asia + Europe) Support product enhancements, solution design discussions, and testing activities Work closely with engineering tea...

You have 5 years of hands-on experience in building and deploying AI solutions, preferably in fintech or financial services. Your strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc., will be beneficial for this role. Additionally, your experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications will be highly valued. Key Responsibilities: - Solid understanding of MLOps concepts such as model versioning, deployment, and monitoring. - Proficient in working with cloud platforms (AWS/GCP/Azure) and ML services like SageMaker, Vertex AI. - Knowledge of Docker, Kubernetes, or other con...

Job Description Summary All activities providing the necessary support on pre- and post-contractual administration & management , Terms & Conditions of the contract and the Management of claims. Also involves definition, management, and execution of risk modeling activities in support of the contract or project. Also involves definition, management, and execution of contract estimating processes and activities to support tenders and project reviews. Impacts departmental operations and responsible for planning/execution. The role has some autonomy but is focused on execution of activities within an operating discipline covered by standard functional practices and procedures. Some judgment may...

Description: Senior leader driving strategy, governance, and execution across credit risk data, compliance, operations, and technology. Key responsibilities: Lead teams and programs; strengthen governance/controls and mitigate operational risk; ensure regulatory adherence; oversee data integration/transformation (incl. third-party data); drive innovation/automation and process optimization; manage stakeholders/vendors and partner with legal/compliance/audit. Qualifications: Experience in credit risk/financial services/tech ops/project leadership; proven team leadership; deep knowledge of risk models/decisioning/regulatory reporting; data governance expertise; proficiency with SAS/SQL; excell...

About the Role: We are looking for a Risk Analyst with strong analytical skills and a keen interest in the fintech space. Refyne is one of the leading Fintech companies in our field in the area. We are hiring a talented Risk Analyst professional to join our team. If you're excited to be part of a winning team, Refyne is a great place to grow your career. What you'll do: Build rules, algorithms and machine learning models to respond to and mitigate consumer credit risk Analyze data to better understand potential risks, concerns and outcomes of decisions Aggregate data from multiple sources to provide a comprehensive assessment Create reports, summaries, presentations and process documents to ...

Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field. Good understanding of Probability of Default (PD), LGD and EAD modeling technique. Proven hand-on experience in Artificial Intelligence and extensive experience in GCP . Very good understanding of Predictive modeling techniques and their application. Knowledge of Credit life cycle Statistics and machine learning techniques. Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis Team player and collaboration skills. Programming skills in GCP, R, SAS...

As a leading management consulting firm, Avasant offers Strategic Sourcing, IT and Business Transformation, and Global Strategy services to the global Fortune 1000. Established in 2006, Avasant has facilitated deals exceeding $250 billion and operates in more than 50 countries. Avasant has been consistently honored as the "World's Best Outsourcing Advisor" by the International Association of Outsourcing Professionals (IAOP) for fourteen consecutive years. In this role, you will actively engage with large enterprises to establish and manage their Global Capability Centers (GCC). The nature of the engagement will vary based on the client's preference to independently build and operate their GC...

Quantitative Analytics, Quant Research, Calculation Services– Mumbai The Group : Morningstar’s Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors and Morningstar achieve better outcomes by making better decisions. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the...

Salary: 30 to 45 LPA Exp: 2 to 13 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. - Le...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad 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 innovativ...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai 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 a...

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...

POSITION \- Senior Data Scientist \u2013 Agentic AI Platform (Mortgage Industry) Location: 1 st preference \u2013 WFO \- Hyderabad Experience: 5+ years in applied data science, with 3+ years in financial domain AI Role Overvie w We are hiring a Senior Data Scientist to develop and deploy advanced AI/ML models powering mortgage automation agents . This role involves designing models for creditworthiness prediction, fraud detection, income verification, document intelligence, and conversational agents . The candidate will ensure models are accurate , explainable, and compliant with regulatory frameworks. Key Responsibilities Build, train, and optimize ML/AI models for mortgage risk, loan eligi...

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...

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...