Financial Risk Analytics – Senior Product Analyst

S&P Global, Inc.; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Health & Wellness

Flexible downtime

Continuous learning

Invest in your future

Family friendly perks

Beyond the basics

Job summary

S&P Global Market Intelligence in London seeks a Senior Product Analyst to design workflows for market data ingestion, enrichment, validation, and delivery within Risk Analytics. You will translate business needs into data mappings, user stories, and acceptance criteria, while supporting APIs, data pipelines, and observability across teams.

The role requires experience with SQL/Python, data quality, and agile delivery, and involves collaboration with product, engineering, QA, and client-facing

Qualifications

• Senior experience as a product/analyst in financial services or analytics tech.
• Ability to define data mappings, user stories, and acceptance criteria.
• Strong SQL and Python for data investigation and validation.

Responsibilities

• Analyse requirements and design workflows for market data ingestion and delivery.
• Translate needs into specifications, data mappings, and test scenarios.
• Support data pipelines, APIs, and integration services with monitoring and automation.
• Collaborate across product, engineering, QA, and client-facing teams.

Skills

Senior product analyst

Data analysis

SQL

Python

Agile delivery

Communication skills

Education

Finance/Economics/Math/CS/Engineering/Data Science

Tools

Snowflake

Databricks

Spark

AWS

Azure

Confluence

Azure DevOps

Git

Tableau

Power BI

Job description

About the Role:

Grade Level (for internal use): 11

Summary

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.

Responsibilities

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.

Required experience

• 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.

Preferred experience

• 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, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

What’s In It For You?

Our Mission

Advancing Essential Intelligence.

Our People

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values

Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.


• Flexible Downtime: Generous time off helps keep you energized for your time on.


• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.


• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.


• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.


• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to [e-mail] and your request will be forwarded to the appropriate person.

US Candidates Only: Know Your Rights: Workplace discrimination is illegal

Location: London, United Kingdom