Lead - Risk Management-Delhi NCR
1 week ago
About Our Client
One of the fastest growing NBFCs in India.
Job Description
Analysis and visualization of risk factors using database and analytics tool like SQL, Python/SAS, Power BI, ExcelResponsible for enhancing and performing Internal Capital Adequacy Assessment Process (ICAAP) and prepare comprehensive ICAAP document for presentation to Board in line with Basel / RBI norms. Keep ICAAP policy updated in line with regulatory guidelines.Perform Stress Testing on material risks in line with RBI guidelines / Basel norms and Stress Testing Policy. Develop & maintain Stress Testing FrameworkCredit Loss Modelling for the Corporate Finance Portfolio for ECL ProvisioningMaintain credit Models on Basel/IFRS 9 (PD, LGD, EAD) etc. for ECL (Expected Credit Loss) CalculationsDevelop and maintain 'Risk-Based-Pricing' and 'RAROC' models for Corporate Finance portfolioQuery large data sets to draw insights from loan portfolio data to detect early warning indicatorsExtensive data mining to monitor the changes in trends, outlook and review the portfolio quality and performanceData Analysis and performance Tracking/Portfolio Management for the Corporate PortfolioPD Modelling with Flow rates and Linear Regression, and Vasicek methodPerform Stochastic Stress Testing using Regression, Vasicek, CIR modelsPerform portfolio analytics - Vintage, Waterfall, Through the door analysis etc.Perform Portfolio deep-dive to identify emerging trends; contribute towards improving portfolio quality and reducing non-performing loansRegulatory Report filing on Monthly/Quarterly/weekly basisDesign Guardrails for each product and monitor them for sensing & sending Early Warning AlertsMonitor Macro/Micro/High Frequency indicators; keep a close monitoring on movement of these indicators and perform impact assessment.The Successful Applicant
Post-Graduate (FRM / CFA preferred)Min 10+ Years of Work Exp.Understanding of Basel norms/IFRS 9 (PD, LGD, EAD), IND AS9, ICAAP, RAROC, Regulatory, Financial Concepts. Statistical Concepts (Econometrics), Data Science and Machine Learning algorithms,-
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