Quantitative Analyst

DW Search; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

DW Search is seeking a talented candidate to join a leading global buy-side Quantitative Risk team in London. You will work on complex, business-critical risk models across multiple asset classes, combining model validation, quantitative research and hands-on development to support an investment platform.

You will gain exposure to senior stakeholders while shaping tools and methodologies used to manage risk and governance.

Qualifications

• Master's degree in a quantitative discipline; PhD preferred.
• Experience in quantitative modelling, model validation or financial risk.
• Strong Python and/or R programming skills.
• Exposure to AI or machine-learning models and the ability to communicate complex concepts clearly.

Responsibilities

• Develop and validate complex risk models across multiple asset classes.
• Support model governance and risk tools across the business.
• Conduct quantitative research and hands-on development of risk tooling.
• Present technical findings and recommendations to senior stakeholders.

Skills

Python

R

AI/ML

Communication

Education

Master's degree in quantitative discipline

PhD preferred

Job description

Join a leading global buy-side organisation and become part of a highly regarded Quantitative Risk team operating at the heart of investment decision-making.

This is an opportunity to work on complex, business-critical risk models across multiple asset classes, combining model validation, quantitative research and hands-on development. You will gain exposure to senior stakeholders while helping shape the tools and methodologies used to manage risk across a global investment platform.

The position offers strong visibility across the business, with the opportunity to present technical findings and recommendations to senior stakeholders. You will also contribute to model governance, support business-critical risk tools and explore how AI and machine learning can be applied within quantitative risk.

Master’s degree in a quantitative discipline, although a PhD would be preferred. You should have experience in quantitative modelling, model validation or financial risk, alongside strong Python and/or R programming skills. Exposure to AI or machine-learning models and the ability to communicate complex concepts clearly will also be important.