Assistant Vice President/Associate - SIMM Margin Model Risk

Description:

Hiring: AVP/Associate SIMM Margin Model risk

Non Negotiables: SIMM and Margin Model Risk experience

Location: Powai, Mumbai

Experience Required: AVP + Associate (8-10 years with SIMM & VaR backtesting)

We are hiring an experienced SIMM professional to join the Risk Methodology / Risk Model Performance Monitoring function at the Assistant Vice President (AVP) and Associate level. This role is critical to regulatory and internal model governance, with a strong and mandatory focus on Backtesting within VaR and SIMM frameworks.

Key Responsibilities:

- Mandatory ownership of Backtesting within VaR testing and SIMM model performance monitoring

- End-to-end SIMM backtesting, benchmarking, exception analysis and reporting

- VaR backtesting and ongoing performance monitoring of internal market risk models

- Deep-dive root cause analysis of backtesting breaches/exceptions across asset classes

- Engage with Front Office, Product Control, Risk IT, Quants and Regulators

- Act as Subject Matter Expert for SIMM and VaR model performance

- Maintain and enhance backtesting policies, procedures and governance documentation

- Support automation of model performance monitoring and reporting frameworks

- Lead and present findings in senior stakeholder and model governance forums

- Manage regulatory communication related to SIMM and VaR backtesting outcomes

Mandatory Skills & Experience:

- 8+ years of experience in SIMM and VaR Backtesting (reporting and breach root-cause analysis)

- Backtesting within VaR testing is mandatory

- Strong hands-on experience with SIMM model performance monitoring

- Solid understanding of market risk models for derivative products across asset classes

- Proven experience working with regulators and senior stakeholders

- Strong analytical capability in statistical testing, sensitivity analysis and model benchmarking

Technical Skills:

- Python, SQL and Excel/VBA (mandatory for analysis and reporting)

- Experience in process automation and working closely with Risk IT teams

Educational Qualifications:

- Masters degree in a quantitative discipline, Finance, Economics, or equivalent

- FRM / PRM / CFA certification is a strong advantage