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About the Role

The Financial Risk Analytics (FRA) team at S&P Global provides advanced products and solutions for financial institutions to manage counterparty credit risk, market risk, regulatory risk capital, and derivative valuation adjustments. This role is based in London and involves client implementation, project coordination, product support, data analysis, and operational delivery, supporting the full client lifecycle from onboarding to ongoing support.

Responsibilities

Support and manage FRA client implementation and onboarding activities.
Coordinate project and workflow activities across financial engineering, product, design, development, QA, and support teams.
Prepare and communicate project status, delivery updates, risks, and dependencies to internal and external stakeholders.
Prioritize tasks and manage day-to-day issues across implementation, support, and operational activities.
Provide day-to-day support for Risk as a Service (RaaS) and deployed solutions.
Investigate and troubleshoot system, data, and process issues, working with internal teams to provide timely resolution.
Respond to client requests with detailed analysis, clear feedback, and strong follow-through.
Perform data validation and quality checks on inputs and outputs.
Conduct data analysis across the S&P Global data estate and FRA Risk Factor Utility.
Assist with implementation, testing, validation, and documentation of new features and enhancements.
Ensure UAT and pre-production environments appropriately reflect intended production design and setup.
Coordinate release window activity across impacted groups and stakeholders.
Support ongoing planning and continuous improvement through capture of project metrics, lessons learned, and process best practices.
Support sales and other internal stakeholders with project and delivery expertise.
Provide support and cover for colleagues across the wider team as needed.

Requirements

Undergraduate or Master’s degree in Computer Science, Engineering, Finance, or another relevant technical discipline preferred.
Experience in cloud technology, ideally AWS, but GCP/Azure also valued.
Experience with REST APIs/JSON/XML.
Kubernetes experience valued.
Project management qualification such as Prince 2 or equivalent experience is an advantage.
Experience with data analysis and operational problem solving.
Experience with Python or other programming/scripting languages.
Familiarity with REST APIs, JSON, and XML.
Exposure to modern technology platforms and workflows is preferred.
Experience of technology projects related to financial risk is preferred.
Understanding of financial markets, financial instruments and risk practices within banks is preferred.
Exposure to risk domains such as counterparty credit risk, market risk, regulatory capital, or XVA is beneficial.
Experience contributing to or managing successful and complex technology implementation or delivery projects.
Excellent teamwork and interpersonal skills, with the ability to work effectively across functions and geographies.
Capable of working effectively in a fast-paced business environment managing multiple tasks and deadlines.
Adept at building and maintaining trusted and respected relationships with clients and colleagues at all levels.
Self-starter with strong ownership and attention to detail.
Highly proficient verbal and written communication skills in English.
Personally engaging and able to communicate clearly with both technical and non-technical stakeholders.
Able to positively engage with, and contribute to, the wider global team.
Willing to work occasional evenings and/or weekends to accommodate client deadlines and time-zone differences.
Must attend at least one in-person interview at your nearest S&P Global office.

Skills

Cloud technology (AWS, GCP/Azure)
REST APIs
JSON
XML
Kubernetes
Data analysis
Operational problem solving
Python
Programming/scripting languages
Financial risk technology projects
Financial markets understanding
Financial instruments understanding
Risk practices within banks understanding
Counterparty credit risk
Market risk
Regulatory capital
XVA

Location

London

Work Type

Full-time
Hybrid

Experience Level

Middle Professional

Education Level

Undergraduate or Master’s degree in Computer Science, Engineering, Finance, or another relevant technical discipline

Benefits

Health care coverage designed for the mind and body.
Generous time off.
Access to resources for career growth and skill development.
Competitive pay.
Retirement planning.
Continuing education program with a company-matched student loan contribution.
Financial wellness programs.
Benefits for partners and children.
Retail discounts.
Referral incentive awards.

About the Company

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.
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.
Our Values: Integrity, Discovery, Partnership.

Equal Opportunity

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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.