Company: Goldman Sachs
Location: London
Job Description:
Overview
In this role, you will build and maintain quantitative risk models and analyze risk drivers to support liquidity and capital decisions. You will partner with business teams to quantify risk, develop scalable risk infrastructure, and communicate insights clearly. You’ll apply advanced math, statistics, and programming to improve risk visibility and drive commercial outcomes. This is a hands-on, high-impact position at a leading financial firm.
Pay / Benefits
- training and development opportunities
- firmwide networks
- benefits
- wellness programs
- personal finance offerings
- mindfulness programs
Responsibilities
- Develop risk models and risk sensitivity analyses using mathematical, statistical, and engineering methods (optimization, ML, regressions)
- Perform detailed analysis of risk trends and drivers
- Update and maintain risk models to reflect business growth and changing risk environment
- Design and maintain large-scale risk infrastructures/systems with strong programming
- Communicate model results and insights to technical and business audiences
- Collaborate with key business partners to understand markets and quantify risk
Key requirements
- 3+ years of software development experience
- Strong analytical and problem-solving skills using math, statistics, and programming
- Ability to learn new technologies and apply them
- Excellent communication skills for technical and business audiences
- Strong programming experience in at least one language (C, C++, Java, Python)
- Experience designing scalable, efficient systems
- Familiarity with financial markets, assets, and risk management is a plus
- strong communication skills
- problem solving
- data-driven mindset
- C, C++, Java, Python
- machine learning
- optimization
…
Posted: October 1st, 2026