B
BarclaysLondonGraduate
Quantitative Analytics Associate Graduate Programme 2026 London
Join Barclays' Quantitative Analytics Associate Graduate Programme in London to develop and implement quantitative models supporting trading, risk management, and finance functions. Gain exposure to financial engineering, statistical modelling, and machine learning in a collaborative environment.
1
Programme Overview
- Work with specialist teams in Markets Quants and Statistical Modelling Quants.
- Support front-office pricing, valuation adjustments, and credit risk management.
- Develop models for default probabilities, fraud detection, and economic capital.
- Collaborate with trading, structuring, and risk management functions.
- Receive intensive training on products, business knowledge, and skills.
2
Responsibilities
- Apply quantitative techniques to solve business problems and develop new models.
- Collaborate with cross-functional teams and senior management.
- Conduct research to support strategic decision-making and prepare reports.
- Design and develop quantitative research frameworks and systems.
- Train and mentor junior colleagues.
3
Candidate Requirements
- Postgraduate degree (Masters or higher) in STEM or quantitative disciplines.
- Strong mathematical and programming skills, ideally in C++ or Python.
- Logical thinking, problem-solving, and excellent communication skills.
- Team-oriented attitude and fluent English proficiency.
- Passion for banking, financial services, and capital markets.
4
Role Expectations
- Consult on complex issues and advise People Leaders.
- Develop policies to mitigate risk and support governance.
- Engage in complex data analysis from multiple sources.
- Communicate complex or sensitive information effectively.
- Influence stakeholders to achieve business outcomes.