The Team: 

At S&P Global, our Financial Risk Analytics team provides state-of-the-art products and solutions to help financial institutions measure and manage their counterparty credit risk, market risk, regulatory risk capital, and derivative valuation adjustments. Our innovative technology stack includes a fully vectorized pricing library, machine learning, and big data solutions, enabling scalability and precision. Our products are trusted by the largest tier-one banks as well as smaller niche firms globally. 

Responsibilities and Impact: 

This position is for a London-position within the FRA team, combining client implementation, project coordination, product support, data analysis, and operational delivery across FRA solutions. The role supports the full client lifecycle, from onboarding and implementation through to business-as-usual support, testing, issue investigation, and continuous improvement. 

In addition to strong analytical and technical capability, client relationship management is an important aspect of the role. Ensuring a high level of client satisfaction through effective communication, responsiveness, and delivery discipline is a core requirement. 

• Support and manage FRA client implementation and onboarding activities for new and existing clients. 

• 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. 

• Prioritise 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 to ensure stable and effective client operations. 

• 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 on actions required to deliver daily results 

• Perform data validation and quality checks on inputs and outputs to support a reliable end-to-end workflow. 

• Conduct data analysis across the S&P Global data estate and FRA Risk Factor Utility, supporting operational processes and data quality improvements. 

• 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 where required. 

• 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 where required. 

• Provide support and cover for colleagues across the wider team as needed 

What We’re Looking For: 

Basic Required Qualifications: 

Education and Experience 

• Background in Computer Science, Engineering, Finance, or another relevant technical discipline preferred 

• Experience in cloud technology, ideally AWS, but GCP/Azure also valued, with 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 

Commercial Awareness 

• 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 

Management Requirements 

• 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 

Personal Competencies 

Personal Impact 

• 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 

Communication 

• Highly proficient verbal and written communication skills in English 

• Personally engaging and able to communicate clearly with both technical and non-technical stakeholders 

Teamwork 

• 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 

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.