Financial Risk Analytics – Senior Product Analyst

Grade Level (for internal use):

Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk counterparty credit risk regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library Machine Learning and a Big Data stack for scalability our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed in the cloud or can be run as a service so we free up internal resources to focus on business priorities.

Financial Risk Analytics is seeking a Senior Product Analyst in London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design data pipeline requirements integration patterns validation controls and operational improvements that support scalable risk analytics delivery.

The Senior Product Analyst will work with product financial engineering data technology support professional services and client-facing teams to analyse requirements and design robust workflows for market data ingestion enrichment validation transformation integration and delivery into Risk Analytics products and services.

The role will translate business analytical and operational needs into clear specifications data mappings process flows user stories acceptance criteria test scenarios release notes and operational documentation.

The role will support the design and continuous improvement of data pipelines APIs integration services controls monitoring observability exception management and automation across Market Data and Integration workflows.

The Senior Product Analyst will investigate complex data and workflow issues using SQL Python logs dashboards and source-system analysis; support UAT regression testing release readiness production validation defect triage and post-release monitoring; and act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows dependencies constraints and expected behaviour.

All employees are required to work from the office a minimum of two days per week.

• 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.

• 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.

About S&P Global Market Intelligence

At S&P Global Market Intelligence a division of S&P Global we understand the importance of accurate deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions partnering with customers to expand their perspective operate with confidence andmake decisions with conviction.

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