Sr Specialist, Quantitative Modeling

S&P Global Inc.; Greater London; Hybride; GBP 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Résumé du poste

S&P Global Inc. in London is seeking a Sr Specialist, Quantitative Modeling to support Risk as a Service and the Financial Risk Analytics platform for institutional clients worldwide.

You will analyze data quality, contribute to feature development, and collaborate with cross-functional teams to ensure accurate risk factor data and model results. The role requires a maths/CS degree, Python proficiency, and willingness to work evenings or weekends to meet global deadlines; office two days per

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or related quantitative discipline.
• Proficiency in Python or at least one other programming language (e.g., R, C++) applied to data analysis, quantitative modelling, or workflow automation.
• Demonstrable knowledge of financial risk concepts, including counterparty credit risk, market risk, regulatory capital, or derivative valuation.
• Strong written and verbal communication skills, with the ability to convey technical findings clearly to both specialist and non-specialist audiences.
• Availability and willingness to work occasional evenings and/or weekends to support client deadlines and global time-zone requirements.

Responsabilités

• Operate and support Risk as a Service (RaaS) and Deployed Solutions, ensuring seamless daily performance and an exceptional experience for institutional clients across the globe.
• Conduct data analysis across S&P Global's data estate and the Financial Risk Analytics Risk Factor Utility—managing data quality to maintain accurate inputs across our workflow.
• Investigate and resolve system, data, and process issues—diagnosing root causes and implementing proactive measures to prevent recurrence before they impact client-facing solutions.
• Contribute to feature development by assisting in the implementation, testing, and documentation of new platform capabilities, gathering stakeholder requirements and providing structured feedback for continuous improvement.
• Collaborate with cross-functional teams globally to resolve operational challenges, support client deliverables, and strengthen product quality and analytical infrastructure.
• Support client-facing outputs by ensuring the accuracy and integrity of risk factor data and model results delivered to institutional counterparties.

Connaissances

Python

Financial risk concepts

Communication skills

Evening/weekend availability

Big data / ML frameworks

Formation

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or related quantitative discipline

Outils

SQL

R

C++

Description du poste

About the Role

Grade Level (for internal use): 09 The Team S&P Global's Financial Risk Analytics team delivers state-of-the-art risk management solutions to financial institutions worldwide — from the world's largest tier-one banks to specialist niche firms. Our technology stack combines a fully vectorised pricing library with machine learning and big data capabilities, enabling precision at scale across counterparty credit risk, market risk, regulatory capital, and derivative valuation.

Responsibilities and Impact

As Sr Specialist, Quantitative Modeling, you will play a hands‑on role in keeping our risk analytics platform running at its best — supporting clients, strengthening data integrity, and contributing to the evolution of our product. Your day‑to‑day impact will span operations, analytics, and development:

• Operate and support Risk as a Service (RaaS) and Deployed Solutions, ensuring seamless daily performance and an exceptional experience for institutional clients across the globe.
• Conduct data analysis across S&P Global's data estate and the Financial Risk Analytics Risk Factor Utility — managing data quality to maintain accurate, reliable inputs across our end‑to‑end workflow.
• Investigate and resolve system, data, and process issues — diagnosing root causes and implementing proactive measures to prevent recurrence before they impact client‑facing solutions.
• Contribute to feature development by assisting in the implementation, testing, and documentation of new platform capabilities, gathering stakeholder requirements and providing structured feedback for continuous improvement.
• Collaborate with cross‑functional teams globally to resolve operational challenges, support client deliverables, and contribute to initiatives that strengthen product quality and analytical infrastructure.
• Support client‑facing outputs by ensuring the accuracy and integrity of risk factor data and model results delivered to institutional counterparties.

What We're Looking For

Basic Required Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or a related quantitative discipline
• Proficiency in Python or at least one other programming language (e.g., R, C++) applied to data analysis, quantitative modelling, or workflow automation
• Demonstrable knowledge of financial risk concepts, including at least one of: counterparty credit risk, market risk, regulatory capital, or derivative valuation
• Strong written and verbal communication skills, with the ability to convey technical findings clearly to both specialist and non‑specialist audiences
• Availability and willingness to work occasional evenings and/or weekends to support client deadlines and global time‑zone requirements

Additional Preferred Qualifications

• Experience supporting production systems or risk analytics platforms within a financial services or fintech environment
• Practical experience with big data technologies or machine learning frameworks in a quantitative context
• Knowledge of regulatory risk capital frameworks (e.g., Basel III/IV, FRTB, SA‑CCR)
• Experience in data quality management and end‑to‑end workflow validation within financial data pipelines
• Proficiency in SQL or similar data querying languages for large dataset interrogation and manipulation
• Exposure to derivative pricing models or risk factor simulation methodologies

Additional Information

Employees are required to work from the office a minimum of two days per week. We require all candidates who reach the final stage of our interview process to attend at least one in‑person interview, which is ordinarily at your nearest S&P Global office. This must be completed before we can proceed to an offer.

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 unrivalled 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.

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] your request will be forwarded to the appropriate person.

US Candidates Only

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Job Classification

20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT202.1 - Middle Professional Tier I (EEO Job Group) This is the site for former colleagues whose roles have been impacted by organizational changes to search for job opportunities with S&P Global. We are committed to providing impacted team members priority consideration for new opportunities. When applying, please create a login with your personal email address and select Redeployment in the section: 'How did you hear about us?'.