Business Analyst

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