Quant Developer, Global Markets: Linear Rates Analytics

4952 Barclays Bank PLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Barclays is seeking a Quantitative Developer in London to modernise our analytics infrastructure for Global Markets. You will maintain production libraries, build automated reporting, and develop real-time streaming capabilities to support trading decisions.

You're expected to apply quantitative modelling, advanced maths, and software engineering to optimise pricing, risk management, and opportunities across multiple products. Collaboration with front-office and risk teams is essential.

Qualifications

• Master's degree in Financial/Applied Mathematics, Physics, Engineering, or Computer Science.
• Excellent Python and C++ programming skills.
• Proven quantitative understanding of linear rates products, pricing and risk management.
• Ownership mentality with ability to drive initiatives end-to-end.
• Clear written and verbal communication for technical and non-technical stakeholders.

Responsibilities

• Maintain and extend production analytics libraries for global markets.
• Build automated reporting pipelines and real-time streaming capabilities.
• Develop new quantitative models and trading analytics to enhance decision making.
• Collaborate with front-office and risk teams to deliver robust analytics infrastructure.

Skills

Python

C++

Quantitative modelling

Ownership mentality

Communication skills

Education

Master's degree in Financial/Applied Mathematics, Physics, Engineering, or Computer Science

Tools

KDB+

Kafka

Job description

Barclays is seeking a Quantitative Developer in London to modernise our analytics infrastructure for Global Markets. You will maintain production libraries, build automated reporting, and develop real-time streaming capabilities to support trading decisions.

You're expected to apply quantitative modelling, advanced maths, and software engineering to optimise pricing, risk management, and opportunities across multiple products. Collaboration with front-office and risk teams is essential.