Analyst - Model Risk Management

Job description

Location: Bengaluru Experience: 2+ Years Role Objective: As an Analyst Model Risk Management, you will support the governance, validation, development, evaluation and performance monitoring of models used in the Unsecured Lending portfolio. The role involves assisting in model documentation, performance tracking, reporting, and ensuring adherence to internal risk frameworks and regulatory guidelines. Key Responsibilities 1. Model Governance Support - Assist in maintaining the Model Inventory including, model documentation, classification, and periodic review tracking. - Support the preparation of governance documentation for internal audits and regulatory reviews. - Coordinate with model development and analytics teams to ensure completeness of model-related information. 2. Model Validation & Monitoring - Support the validation team in model testing activities such as: - Data validation checks - Back-testing support - Benchmarking analysis - Stress testing assistance - Track model performance metrics such as Gini, KS and PSI, and highlight any deviations to the reporting manager. - Assist in documenting model assumptions, limitations, and validation results. 3. Portfolio Monitoring & Reporting - Support the preparation of model performance dashboards. - Assist in tracking portfolio trends such as vintage analysis, roll rates, and Expected Credit Loss (ECL) movement. - Risk forecasting for early warning policy actions. - Prepare periodic reports for internal review and stakeholder discussions. 4. Process Support & Automation - Assist in automation of reports and dashboards to improve reporting efficiency. - Support Model QA activities including checklist reviews and documentation of findings. - Stay updated with developments in credit risk model and regulatory requirements. What We Are Looking For - Understanding of statistics, data analysis, or credit risk concepts. - Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases - Willingness to learn Model validation techniques and regulatory requirements. - Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. - Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. - Stakeholder management skills with ability to communicate and work with senior management effectively Education & Experience - University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Masters degree in above mentioned subjects preferred - Experience: 2+ years of experience in Model Validation or Model Development within Indian Banking, NBFC, or Fintech ecosystems, with exposure to unsecured lending portfolios. Interested candidates can share their resume over an Email, **Resumesktk@muthootgroup.com**