Financial Risk Analytics – Senior Product Analyst
On-siteLondon, England, United Kingdom
Job Summary
Design robust workflows for market data ingestion, enrichment, validation, transformation, and delivery into Risk Analytics products. Translate business and operational needs into specifications, data mappings, user stories, and acceptance criteria. Support data pipeline design, API integration, monitoring, and automation while investigating complex issues using SQL, Python, and source-system analysis. Manage UAT, regression testing, release readiness, defect triage, and post-release monitoring as a senior subject matter expert for internal and client-facing teams. Work with product, financial engineering, and support teams to drive operational improvements across scalable risk analytics delivery.
Required Qualifications
- Senior experience as a product analyst, business analyst, data analyst, implementation analyst, risk technology analyst, or similar role within financial services, market data, or analytics technology
- Strong understanding of market data, reference data, pricing data, data quality, data lineage, data controls, and integration workflows
- Mandatory experience analysing and documenting data pipelines, APIs, batch processes, event-driven workflows, databases, file-based interfaces, or cloud-based data platforms
- Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation
- Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis
- Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, and model data requirements
- Experience working with Agile delivery teams and collaborating across product, engineering, QA, support, financial engineering, and client-facing functions
- Excellent analytical, communication, and problem-solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders
- Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline
- Final-stage candidates are required to attend at least one in-person interview, ordinarily at the nearest S&P Global office, before an offer can proceed
- All employees are required to work from the office a minimum of two days per week
Desired Qualifications
- Experience with Risk Analytics, Buy Side Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions
- Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms
- Knowledge of market data vendors, data mastering, golden-source design, curve construction, historical market data, pricing services, scenario generation, or analytics input validation
- Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics
- CFA, FRM, CQF, or other relevant professional qualification
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