Business Analyst - FRTB IMA; Market Risk

Job Description

We are seeking an experienced Business Analyst (BA) to support a leading investment banking client in their Fundamental Review of the Trading Book (FRTB) - Internal Models Approach (IMA) implementation program. The ideal candidate will have hands‑on experience in FRTB implementation, strong understanding of market risk frameworks, and expertise in market data, time series analysis, and regulatory metrics such as P&L Attribution (PLA/PAT) and Risk Factor Eligibility Test (RFET).

• Work closely with Front Office, Risk, IT, and Quant teams to support FRTB IMA implementation.
• Gather, analyze, and document business and functional requirements related to market risk and FRTB regulations.
• Support implementation of P&L Attribution Tests (PAT/PLA) and Risk Factor Eligibility Test (RFET) frameworks.
• Analyze and validate market data inputs, time series construction, data gaps, and modellability requirements.
• Perform data analysis and reconciliation across systems to ensure regulatory compliance.
• Collaborate with IT teams on system enhancements, data pipelines, and model integration.
• Assist in UAT planning, execution, and defect tracking.
• Produce high-quality documentation including BRDs, FRDs, process flows, and test cases.
• Engage with stakeholders to ensure alignment with BCBS FRTB regulatory requirements.
• Support regulatory reporting and audit queries.

• Strong experience as a Business Analyst in Market Risk / Investment Banking domain.
• Proven hands‑on experience in FRTB (IMA) implementation.
• In-depth understanding of:
  • Market risk concepts (VaR, ES, sensitivities, etc.)
  • P&L Attribution Test (PAT/PLA)
  • Risk Factor Eligibility Test (RFET)
  • Market data & time series modelling
• Hands‑on experience in data analysis using Python (pandas, numpy, etc.).
• Strong SQL/data querying skills.
• Experience working with large datasets and risk systems.
• Excellent stakeholder management and communication skills.
• Familiarity with regulatory frameworks (Basel / BCBS).

• Exposure to risk engines (e.g., Murex, Calypso, Athena, or in-house platforms).
• Understanding of modellability, stress testing, and ES calculations.
• Experience working with quants or model validation teams.
• Knowledge of Agile delivery methodologies.

• Bachelor's / Master's degree in Finance, Mathematics, Engineering, or related field.