Role: Business Analyst
Experience: 7+years
Location: London
Work mode: Hybrid
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).
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)
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