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S&P Global

Graduate Product Analyst - Financial Risk Analytics

Reposted 2 Days Ago
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In-Office
London, Greater London, England
Entry level
In-Office
London, Greater London, England
Entry level
The role involves product analysis and design, assisting in product roadmap execution, and supporting clients, requiring a quantitative education and skills in Python and SQL.
The summary above was generated by AI
About the Role:

Grade Level (for internal use):

07Graduate Product Analyst – Financial Risk Analytics

The team:

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, including a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are utilized by the largest tier-one banks, asset managers, and smaller niche firms.

The impact:

Financial Risk Analytics is seeking a highly motivated, enthusiastic and detail-oriented individual to join our product team in London. This is an exciting opportunity to contribute to the development and support of our advanced financial risk solutions in a role that will allow you to gain exposure to a wide variety of quantitative and qualitative topics and clients.

What’s in it for you:
  • Gain valuable exposure to both Buy Side and Sell Side methodologies, as well as a variety of risk models.
  • Develop a comprehensive understanding of the full end-to-end product development cycle, from design through testing and deployment.
  • Collaborate with a global team, leveraging cutting-edge technologies and cloud infrastructure, while working with major financial institutions as clients worldwide.
Responsibilities:

Product analysis and design.

  • Research academic and market standards and define potential improvements of methodologies and workflows.
  • Research and design the functionality, create product feature specifications, and implement proofs-of-concept.
  • Propose technical solutions to business challenges.

Assist in the execution of the product roadmap.

  • Assist in the delivery of new product features, communicating regularly with the product team.
  • Coordinate the implementation and prepare documentation for new features.
  • Coordinate with the data/software/financial engineering teams on the development, testing, and implementation of new risk models, ensuring that data and analytics are tightly integrated.
  • Develop analytical tools and prototypes for new features prior to implementation.

Support current and prospective clients.

  • Support the professional services team with PoCs, client onboarding, investigations and production runs.
  • Assist in the presentation of product capabilities to internal and external stakeholders, gathering feedback and answering questions.
What we’re are looking for:
  • A bachelor’s degree in a quantitative background such as finance, mathematics, economics, physics, computer science, or other technical subjects.
  • Strong curiosity and problem-solving skills
  • Interest in product design and/or software development.
  • Experience using Python, SQL, and/or other programming languages.
  • Interest in financial services, risk management, quant finance, and technology

Right to Work Requirements:

  • This role is limited to persons with indefinite right to work in the United Kingdom.

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.

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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:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdfdescribes discrimination protections under federal law.  Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

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PDMGDV203 - Entry Professional (EEO Job Group)

Top Skills

Big Data
Machine Learning
Python
SQL

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