Product Analyst

Financial Risk Analytics provides products and solutions to financial institutions to measure and manage market risk, counterparty credit risk, regulatory risk capital, and derivative valuation adjustments.

• Work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyze requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services;
• Translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation;
• 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;
• 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;
• Act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints, and expected behavior.

• 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 analyzing 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;
• Nice to have: 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.

• Health & wellness health care coverage;
• Generous time off;
• Continuous learning access;
• Competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs;
• Family friendly perks;
• Retail discounts and referral incentive awards.