Quant Developer, Analytics Platform – Hybrid (London)

Barclays; Greater London; Hybrid; GBP 120,000 - 170,000; Full time

Job summary

Barclays is seeking a Quant Developer in the Analytics Platform team within the Core Strats and Quantitative Analytics (QA) group in London. You will help redesign APIs to improve how analytic libraries interact with IT systems and end-users, collaborating across IT, QA Asset classes and Front Office.

Based at Canary Wharf, this hybrid role emphasizes strong Python and C++ skills, distributed collaboration, and delivering high-performance trading and risk analytics platforms for the investment

Qualifications

• Strong Python skills across design, development, testing and maintenance.
• Solid C++ coding skills for in-house libraries.
• Excellent communication for distributed teams and stakeholder interaction.
• Experience in financial application development, pricing and risk systems.

Responsibilities

• Design, develop and maintain high-performance trading platforms and risk systems.
• Collaborate with traders, strategists and IT to gather requirements and deliver solutions.
• Implement new features and improvements to trading platforms for performance and usability.
• Stay abreast of tech trends to drive innovation in trading platforms.
• Lead or contribute to cross-functional initiatives with SM&D, strats, compliance and IT.

Skills

Python

C++

Communications

Financial apps

Tools

Docker

REST APIs

Windows

Linux

XML

Job description

Barclays is seeking a Quant Developer in the Analytics Platform team within the Core Strats and Quantitative Analytics (QA) group in London. You will help redesign APIs to improve how analytic libraries interact with IT systems and end-users, collaborating across IT, QA Asset classes and Front Office.

Based at Canary Wharf, this hybrid role emphasizes strong Python and C++ skills, distributed collaboration, and delivering high-performance trading and risk analytics platforms for the investment