Quantitative Analyst

Bruin; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Bruin seeks a Quantitative Analyst to join its independent Quantitative Risk team in London. You will review and challenge models across asset classes, support model development, and present findings to senior governance committees.

The ideal candidate holds a Quantitative Master’s degree, is proficient in Python and/or R, and has strong stakeholder communication. Buy-side experience is preferred but strong banking candidates will be considered.

Qualifications

• Master's degree in a quantitative field or equivalent.
• Experience in model validation or quantitative risk.
• Proficient in Python and/or R.
• Familiarity with AI/ML models.
• Strong communication with stakeholders.
• Buy-side or banking experience preferred.

Responsibilities

• Review and challenge models across asset classes.
• Support quantitative model development and governance.
• Present findings to senior committees.
• Collaborate with risk and research teams.

Skills

Python

R

Model validation

Quantitative risk

AI/ML

Stakeholder management

Education

Master's degree

Tools

Python

R

Job description

Quantitative Analyst | Model Risk & Validation

A leading global investment manager is seeking a Quantitative Analyst to join its independent Quantitative Risk team in London.

This is an excellent opportunity to work across model risk, model validation, quantitative research, AI/ML models and risk governance within a highly visible buy-side environment. You'll review and challenge models across multiple asset classes, support quantitative model development, and present findings to senior governance committees.

Key Requirements:

• Quantitative Master's degree or equivalent
• Experience in model validation, quantitative risk, risk modelling or quantitative analytics
• Python and/or R programming skills
• Exposure to AI and machine learning models
• Strong stakeholder management and communication skills
• Buy-side experience preferred, although strong candidates from banking or related environments will be considered