OPEN ROLE — VIA SYMPHONI HR

FRTB Model Validation Analyst.

MumbaiHybrid4–12 yearsPosted 2026-08-24

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.

Our client is a leading global financial services institution with a strong presence in key markets worldwide. They are known for their commitment to innovation, client-centric approach, and robust risk management practices. The company fosters a collaborative and dynamic work environment, encouraging professional growth and development.

About the role.

This role involves validating models used for Fundamental Review of the Trading Book (FRTB) regulations. You will be responsible for assessing the conceptual soundness, implementation, and performance of these models. The position requires a deep understanding of market risk, quantitative finance, and regulatory requirements.

What you will do.

  • Perform independent validation of FRTB models, including Internal Model Approach (IMA) and Standardized Approach (SA)
  • Assess model conceptual soundness, methodology, assumptions, and limitations
  • Review model implementation, data quality, and calibration processes
  • Conduct quantitative analysis, backtesting, and stress testing of models
  • Document validation findings, recommendations, and model limitations
  • Collaborate with model development, risk management, and regulatory teams
  • Stay updated with the latest regulatory developments and industry best practices in FRTB
  • Present validation results to senior management and relevant committees

What you bring.

  • 4–12 years of experience in model validation, market risk, or quantitative analysis within financial services
  • Strong understanding of FRTB regulations and their implications for trading book capital
  • Proficiency in quantitative modeling techniques, statistical analysis, and financial instruments
  • Experience with programming languages such as Python, R, or C++
  • Familiarity with market risk measures (VaR, ES) and their calculation methodologies
  • Excellent written and verbal communication skills for technical documentation and stakeholder interaction
  • Master's or PhD in a quantitative field (e.g., Financial Engineering, Mathematics, Physics, Statistics)
  • Ability to work independently and as part of a team in a fast-paced environment
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