Associate - Risk Management - Model Validation - Securitised Products

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":48,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" Roles and Responsibilities: - Serve in a Global Model Validation Group role, responsible for validating models used across the Agency mortgage and securitized products businesses. - Evaluate model conceptual soundness, ongoing monitoring frameworks, and model outcomes to assess appropriateness for intended use. - Identify, analyze, and quantify potential model risk, including sensitivity to assumptions, calibration accuracy, performance stability, and robustness of model outputs. - Produce comprehensive model validation documentation, including validation findings and risk-based assessments of model limitations and assumptions. - Present validation results and risk assessments to senior management, model risk governance committees, and business stakeholders. - Build collaborative partnerships with stakeholders while maintaining independent and principled challenge. Mandatory Qualifications & Domain Expertise: - Education: Ph.D. in a quantitative discipline (Statistics, Mathematics, Economics, or a related field) strongly preferred. A Grad/Post Grad degree with strong relevant experience will be considered. - Experience: Minimum 3 years of experience in model validation or a front-office quantitative group at a major financial institution. Technical Skills: - Hands-on experience working with mortgage pool- and loan-level performance data to identify behavioral drivers of prepayment and default. - Proven ability to build and/or validate Agency MBS prepayment models and mortgage credit models. - Strong knowledge of the U.S. mortgage market, statistical modeling, survival analysis, time-series forecasting, and/or machine learning techniques. - Advanced proficiency in Python, R, and SQL for quantitative modeling and data analysis. Soft Skills: - A team player with strong verbal and written communication skills.