Financial Risk Analytics (FRA) Analyst

Financial Risk Analytics (FRA) Analyst

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
S&P Global Inc.

At a Glance

  • Tasks: Support financial risk analytics solutions and ensure seamless operations for clients.
  • Company: Join S&P Global, a leader in financial analytics with a collaborative culture.
  • Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
  • Other info: Work in a dynamic environment with global teams and excellent career growth.
  • Why this job: Make an impact in financial markets while developing your analytical skills.
  • Qualifications: 1+ years of analytical experience and proficiency in Python or similar languages.

The predicted salary is between 50000 - 60000 £ per year.

At S&P Global, our Financial Risk Analytics team provides state‑of‑the‑art products and solutions to help financial institutions measure and manage counterparty credit risk, market risk, regulatory risk capital, and derivative valuation adjustments. We are seeking an enthusiastic and detail‑oriented analyst to join our team in London. This role involves ensuring the accuracy, reliability, and efficiency of risk analytics solutions and supporting clients in managing complex financial risks.

Responsibilities

  • Provide robust support for Risk as a Service (RaaS) and Deployed solutions, ensuring seamless daily operations and exceptional client experience.
  • Collaborate with cross‑functional teams to resolve issues swiftly and efficiently, maintaining high service delivery standards.
  • Conduct comprehensive data analysis on the S&P Global data estate and the Risk Factor Utility.
  • Utilize analytical skills to manage data quality, ensuring accurate and reliable information for end‑to‑end workflows.
  • Investigate and troubleshoot system, data, or process issues.
  • Implement proactive measures to identify and resolve potential problems before they impact RaaS and Deployed solutions.
  • Assist in the implementation, testing, and documentation of new features, ensuring they meet rigorous standards.
  • Collaborate with stakeholders to gather requirements and provide feedback for continuous improvement.
  • Identify opportunities to improve processes and data workflows, contributing to more efficient and scalable solutions.
  • Pay close attention to detail, proactively identifying data issues or inconsistencies that may impact outputs.
  • Communicate analytical findings clearly to technical and non‑technical stakeholders.
  • Work collaboratively with global teams, contributing to shared objectives and delivering as part of a wider system.

All employees are required to work from the office at least two days per week.

Basic Required Qualifications

  • 1+ years of analytical experience.
  • Strong analytical and problem‑solving skills.
  • Experience using Python or other programming languages.
  • Highly proficient written and oral communication skills.
  • Able to positively engage with and contribute to a wider global team.
  • Willing to work occasional evenings and/or weekends to accommodate client deadlines and time‑zone differences.
  • Interest in financial markets.
  • Demonstrated ability to interpret data and apply structured problem‑solving to real‑world business challenges.
  • Works effectively within defined processes and systems, understanding how their work contributes to end‑to‑end delivery.
  • Actively seeks to improve quality and accuracy of outputs through continuous learning and curiosity.
  • Collaborates with colleagues across teams, contributing to shared goals and delivering high‑quality outcomes.

All candidates who reach the final stage of our interview process must attend at least one in‑person interview at the nearest S&P Global office before an offer can be made.

Additional Preferred Qualifications

  • Exposure to financial risk concepts such as market risk, counterparty credit risk, or derivatives.
  • Experience working with large datasets or financial data platforms.
  • Familiarity with data quality frameworks, validation techniques, or analytics tools.
  • Demonstrated curiosity for financial markets and an interest in how data and analytics drive decision‑making.

Benefits

  • Health & Wellness: Health care coverage designed for mind and body.
  • Flexible Downtime: Generous time off to maintain energy.
  • Continuous Learning: Access to resources to grow your career and learn new skills.
  • Invest in Your Future: Competitive pay, retirement planning, education program with matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: Benefits for partners and children, including best‑in‑class family benefits.
  • Beyond the Basics: Retail discounts and referral incentives.

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.

Financial Risk Analytics (FRA) Analyst employer: S&P Global Inc.

At S&P Global, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and competitive benefits, including generous time off and family-friendly perks, ensuring our team members thrive both personally and professionally. Join us to be part of a global team dedicated to delivering high-quality solutions while enjoying a supportive environment that values your contributions.

S&P Global Inc.

Contact Details:

S&P Global Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Financial Risk Analytics (FRA) Analyst

Tip Number 1

Network like a pro! Reach out to current or former employees at S&P Global on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!

Tip Number 2

Prepare for those interviews by brushing up on your analytical skills and financial concepts. We want to show that we can tackle real-world problems with confidence, so practice articulating our thought process clearly.

Tip Number 3

Don’t forget to showcase our passion for financial markets! Whether it’s through personal projects or relevant coursework, let’s demonstrate how our curiosity drives our analytical approach.

Tip Number 4

Apply directly through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our submission to highlight how our skills align perfectly with the role.

We think you need these skills to ace Financial Risk Analytics (FRA) Analyst

Analytical Skills
Problem-Solving Skills
Python
Data Analysis
Attention to Detail
Communication Skills
Collaboration

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Financial Risk Analytics role. Highlight your analytical experience and any relevant skills, like Python programming, to show us you're a perfect fit!

Show Your Enthusiasm:We love seeing candidates who are genuinely excited about financial markets! Share your passion in your application and let us know how you stay updated on industry trends.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to communicate your skills and experiences, making it easy for us to see how you can contribute to our team.

Apply Through Our Website:Don’t forget to submit your application through our official website! This ensures we receive all your details correctly and helps us process your application smoothly.

How to prepare for a job interview at S&P Global Inc.

Know Your Numbers

Brush up on your financial risk concepts like market risk and counterparty credit risk. Being able to discuss these topics confidently will show that you’re not just a numbers person, but someone who understands the bigger picture in financial analytics.

Show Off Your Analytical Skills

Prepare to demonstrate your analytical prowess. Bring examples of how you've tackled data quality issues or resolved complex problems in previous roles. This will highlight your problem-solving skills and your ability to manage data effectively.

Communicate Clearly

Practice explaining technical concepts in simple terms. You’ll need to communicate findings to both technical and non-technical stakeholders, so being able to articulate your thoughts clearly is key. Consider doing mock interviews with friends to refine this skill.

Be a Team Player

Emphasise your collaborative spirit. The role involves working with cross-functional teams, so share examples of how you’ve successfully worked in teams before. Highlighting your ability to engage positively with others will make you stand out as a candidate.