{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Business Analyst ( Credit Risk)”, “description”: “
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)
Company: Ad Astra Consultants
Location: London
Job Description:
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)
…
Posted: May 16th, 2026