OPEN ROLE — VIA SYMPHONI HR

MPM Associate.

MumbaiHybrid3–5 yearsPosted 2026-11-06

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

SYMPHONI HR is partnering with a leading global financial services organization in the banking sector, operating at significant scale across international markets. The organization is known for its rigorous risk management culture and its commitment to sound model governance and regulatory excellence. This is a collaborative environment that values analytical rigor, continuous improvement and professional development.

About the role.

The MPM Associate will be responsible for backtesting and model performance monitoring activities that support the client's market risk framework. The role involves producing MPM reporting, analysing VaR and P&L attribution results, and ensuring compliance with FRTB requirements including backtesting and PLA tests. The successful candidate will work closely with market risk, product control and model governance teams to deliver accurate, timely insights.

What you will do.

  • Perform daily and periodic backtesting of VaR models and analyse exceptions and their drivers
  • Produce Model Performance Monitoring (MPM) reports for senior stakeholders and governance forums
  • Conduct P&L attribution and hypothetical/risk-theoretical P&L analysis as part of PLA testing under FRTB
  • Automate reporting and analytics workflows using Python, SQL and VBA
  • Build and maintain dashboards and visualisations in Power BI
  • Collaborate with market risk, product control and model validation teams to resolve data and methodology issues
  • Maintain version-controlled code and documentation in GitLab and Git
  • Support regulatory submissions and audit requests related to market risk models

What you bring.

  • 3-5 years of experience in Market Risk or Product Control within a financial institution
  • Solid understanding of VaR, P&L attribution and risk measurement methodologies
  • Hands-on experience with backtesting and Model Performance Monitoring (MPM) reporting
  • Proficiency in Python, SQL and VBA for analytics and automation
  • Working knowledge of GitLab/Git and Power BI
  • Good understanding of financial products, valuation and FRTB regulations including backtesting and PLA tests
  • FRM, PRM or CFA certification preferred or required
  • Strong communication skills and ability to present complex analysis to non-technical stakeholders
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