Market Risk/Model Validation Role - BFS

- Desired candidate must have relevant experience in in statistical modeling, quantitative research, stochastic calculus, market risk management, or related field

- Independently build/validate and manage quantitative market risk analytical models

Strong experience/knowledge in at least some of the following modeling areas (in quant space)

- Pricing and valuation models- Derivatives (across one or more asset classes)

- Market Risk Scenarios and Stress Testing 

- Interest Rate Curve Generation

- Worked on Market Risk Models like to develop/review calculation of VaR (Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool (SAS/R/ Python)

- Strong experience/knowledge in at least some of the following business areas

- Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Exotics, volatility measures, CIR model, Hull & White model, Monte Carlo simulation, Capital calculations etc.

- Leveraging experiential know-how of a range of financial assets like Equity, Interest Rates, Forex etc.

- Strong knowledge/experience of market derivatives, Credit derivatives, OTC products, Securitization products etc.

- Knowledge of global risk areas like Libor transition, BASEL II/III, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc.

- Preferred background: Desired candidate must have degree in a Finance, Economics, Statistics, Engineering + MBA; advanced degree a plus; with experience in Counterparty and Market Risk Analytics & Model development. CQF, FRM, CFA, CPA certification a plus