Quant Developer - High Performance Software Engineering

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Quant Developer to enhance high-performance trading systems. This role involves collaborating with quant researchers to implement trading strategies and develop tools for analyzing large datasets. The ideal candidate will have a strong programming background, particularly in C++ and Linux, and will thrive in a fast-paced environment. This position offers the opportunity to work on cutting-edge technology and contribute to the strategic design of trading infrastructure. If you are passionate about finance and technology, this could be the perfect opportunity for you.

Qualifications

• 3+ years programming experience under Linux, at least 1 year in C++.
• Experience in high performance mission critical systems.

Responsibilities

• Develop and maintain high-performance trading and signals logics.
• Collaborate with quant researchers and traders on trading strategies.

Skills

C++

Linux

Quantitative Analysis

Communication Skills

Debugging

Statistical Methods

Education

Degree in Engineering

Degree in Computer Science

Masters or higher

Tools

SVN

GIT

JIRA

Q/kdb+

Python

Job description

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Quant Developer - High Performance Software Engineering, London

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Client:

Squarepoint Capital

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

69fb26275366

Job Views:

8

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

Department: Investment

Position Overview

• Help research and implement strategies & signals logics, backtesting and simulation, libraries, and processing frameworks.
• Develop tooling to analyze large data sets using advanced statistical methods to identify trading opportunities and to monitor impact of changes over time.
• Develop detailed understanding of the principals of markets operation and structure to effectively utilize domain knowledge in software design and development.

As a member of collaborative team, develop and maintain critical high-performance trading and signals logics and supporting infrastructure. Work side-by-side with quant researchers and traders, assisting in implementation of trading strategies and research projects. Collaborate with technology teams providing strategy & signals containers, as well as integration with general Squarepoint infrastructure. The candidate must be comfortable working in a fast-paced dynamic environment and be able to balance rapid tactical delivery with long term strategic work. The job involves driving cross-team initiatives and daily interaction with quant researchers and traders, thus good communication skills are a must. The candidate must have a strong work ethic, be enthusiastic to work on the bleeding edge of technology, and have the drive to push through complex initiatives. Attention to detail and defensive programming experience.

• Long-term design improvement and maximization of code reuse
• Assist quantitative researchers with technical aspects of trading strategies and signals, as well as other R&D work
• Contribute to strategic design and roadmap for highperformance trading infrastructure
• Production support, primarily in L2 capacity; L1 support when working on specific strategy roll-out projects
• Work closely with other teams (feed handlers, order gateways, reference data) driving cross-team initiatives, including comprehensive latency monitoring, new markets and products rollouts, and others

Required Qualifications:

• Degree in Engineering, Computer Science or related subject; Masters or higher a plus
• 3+ years strong programming experience under Linux, at least 1 year in C++
• 2+ years’ experience working on high performance mission critical systems
• A team player with good communication skills and a preference for compromise
• Ability to balance tactical work with pursing long-term strategic objectives
• 2+ years experience working in trading floor environment, implementing fully automated trading strategies (execution or prop trading
• Experience in effective collaboration with quant researchers and traders, responsible for trading model design and operation; proven ability to: convert abstract requirements into concrete trading implementations and algorithmstroubleshoot trading algorithm and systems issues across large complex distributed system
• Ability to debug complex issues under Linux (memory corruption & leaks, buffer overflows, etc)Experience developing market simulators a strong plus
• Familiarity with basics of listed capital markets and market microstructure (esp. equities and futures); advanced understanding a strong plus
• Basic statistics; advanced quantitative skills a plus, but not required
• Must be able to work well under pressure and tight deadlines
• Effective and professional communicator

Nice to have:

• Modern OO design and software engineering paradigms, especially rapid prototyping and fast iterative release cycle (RAD)
• Experience working on a global team
• Python, Q/kdb+
• Testing methodologies (unit tests, regression tests)
• Dev workflow – SVN, GIT, JIRA, Code Reviews, etc