Change BA – Market Risk / CCR (FRTB, Python)

Change BA – Market Risk / CCR (FRTB, Python)

We are looking for a Business Analyst with strong experience in Market Risk or Counterparty Credit Risk (CCR), supporting large-scale technology change and transformation programs within investment banking. The role requires a blend of functional risk knowledge, data analysis and technical understanding (including Python).

Key Responsibilities

• Work on risk transformation programs (Market Risk / CCR / FRTB) across technology and business teams
• Gather and document business and functional requirements for risk systems and reporting
• Translate requirements into detailed functional specifications and data mappings
• Perform data analysis and validation using SQL / Python for risk and trade datasets
• Support implementation of regulatory changes (e.g., FRTB) across systems and processes
• Collaborate with technology teams, quants and stakeholders to drive delivery
• Participate in UAT, testing and validation of risk calculations and outputs
• Ensure alignment across front office, risk and IT systems

Must-Have Skills

• Strong experience as a Business Analyst in Capital Markets / Investment Banking
• Strong exposure to:
• Market Risk or CCR
• FRTB or regulatory risk frameworks
• Strong data analysis skills (SQL mandatory)
• Working knowledge of Python for data analysis / validation
• Experience in large-scale tech change / transformation programs
• Strong requirement gathering, documentation and stakeholder management skills

Domain Experience (Critical)

• Hands-on experience in:
• Market Risk (VaR, sensitivities, stress testing) OR
• CCR (exposure calculation, derivatives, counterparty risk)
• Understanding of:
• Trade lifecycle and risk data flows
• Financial products:
• Derivatives (swaps, options, futures), bonds

Good-to-Have

• Experience working with risk systems / platforms
• Exposure to data lineage, reconciliation and controls
• Experience working with quants / model teams
• Familiarity with Agile delivery models
• Basic understanding of data architecture or APIs

Experience

• ~7–12 years (depending on depth of domain + program exposure)

Note: Candidates must have worked on regulatory or large-scale risk transformation programs (not BAU reporting roles)