Financial Risk Analytics – Senior Product Analyst

Posted 16 Hours Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Senior level
Fintech • Analytics
The Role
Design and document market-data workflows, integrations, and data pipelines for risk analytics. Translate business needs into specifications, data mappings, user stories, and test plans. Investigate data issues using SQL/Python, support UAT and releases, and improve controls, monitoring, automation, and operational processes across Market Data and Integration.
Summary Generated by Built In
About the Role:

Grade Level (for internal use):

11Summary

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:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include: 

  • 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.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

-----------------------------------------------------------

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: [email protected] and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

-----------------------------------------------------------

20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Skills Required

  • Senior experience as a product analyst, business analyst, data analyst, implementation analyst, or similar 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 for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.
  • Hands-on capability with Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis.
  • Essential knowledge of key financial instruments and risk analytics concepts (bonds, equities, CDS, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, 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, able to explain complex data flows to technical and non-technical stakeholders.
  • Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline.
  • Willingness/ability to work from the office at least two days per week and attend in-person interviews as part of final-stage process.
  • 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.

S&P Global Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about S&P Global and has not been reviewed or approved by S&P Global.

  • Parental & Family Support Policies include extended paid parental leave globally plus additional paid care and compassion leave, indicating strong support for families. Family-focused resources and flexibility reinforce a family-friendly approach.
  • Leave & Time Off Breadth Time off options are broad, including flexible recharge time and companywide wellness days, with additional volunteer time off highlighted. Hybrid and flexible work arrangements further complement time-off breadth.
  • Wellbeing & Lifestyle Benefits Wellbeing programs include 24/7 mental-health support, wellness reimbursements, and resources for employees and family members. Education and financial-wellness support such as tuition reimbursement and student-loan contributions expand the lifestyle offering.

S&P Global Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
26,747 Employees

What We Do

At S&P Global, we accelerate progress by delivering essential intelligence that unlocks opportunity and fosters growth. For 160 years, our insights and data have helped countries, companies and investors make decisions with conviction. We’re the world’s foremost provider of transparent and independent ratings, benchmarks, analytics, data, research, commentary and ESG solution. Our divisions include: • S&P Global Ratings, which provides credit ratings, research and insights essential to driving growth and transparency. • S&P Global Market Intelligence, which provides insights into companies, markets and data so that business and financial decisions can be made with conviction. • S&P Dow Jones Indices, the world’s largest resource for iconic and innovative indices, which helps investors pinpoint global opportunities. • S&P Global Platts, which equips customers to identify and seize opportunities in energy and commodities, stimulating business growth and market transparency.

Similar Jobs

DraftKings Logo DraftKings

Senior Data Science Engineer

Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Hybrid
London, Greater London, England, GBR
6400 Employees

Citadel Logo Citadel

Quantitative Research Analyst - University Graduate (Europe)

Information Technology • Software • Financial Services • Big Data Analytics
In-Office
2 Locations
4000 Employees

Mondelēz International Logo Mondelēz International

Change Manager o9 MEU, Demand Planning

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
9 Locations
90000 Employees

McCain Foods Logo McCain Foods

Chargehand

Food • Retail • Agriculture • Manufacturing
In-Office
Wombourne, Staffordshire, England, GBR
20000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account