AVP - Counterparty Credit Risk Analytics - Investment Bank

The incumbent will be a part of Counterparty Credit Risk (CCR) Exposure and Collateral (ECA) Methodology team in Mumbai which is an integral part of the global CRM Credit Analytics team. CCR ECA Methodology owns and is responsible for further development of methodologies for counterparty credit risk exposure measurement based on Monte Carlo driven models. The primary role of the team is to measure and verify counterparty credit risk for the investment bank.

- Developing, Implementing and maintaining the methodologies to calibrate and monitor the performance of bespoke Monte Carlo exposure, collateral and netting models for derivatives and come up with innovative solutions to address the assumptions and limitations of the models.

- Modelling the stochastic behavior of various risk factors underlying derivative trades

- Programming of prototypes and production code (within an established C++ library, Python/R codebase)

- Interaction with various internal and external stakeholders such as Credit Officers, IT and regulators and addressing requests from various regulators in the context of Basel 3 model implementation.

- Analyze and address questions around the exposure profiles from internal FO representatives and end to end responsible

Looking for -

- Analytical /Numerical degree (physics/Mathematics/Engineering). CFA/FRM/CQF will be preferred

- Experience of at least one of the following topics: Numerical simulations, Monte Carlo, derivative pricing /modelling, Computation of risk metrics (e.g VaR, EPE, PFE, Greeks)

- Working knowledge of at least one of R, MATLAB, Python, Mathematica or C++ is a must

- VBA, SQL, and Office package is highly recommended