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Quantitative Developer

Job in London, Greater London, W1B, England, UK
Listing for: Vallum Associates
Contract position
Listed on 2026-02-09
Job specializations:
  • IT/Tech
    Data Scientist
Job Description & How to Apply Below
Job Title:

Job Title:

Quantitative Developer

Location:

London, UK (Hybrid – 3 days onsite per week)
Contract Type:
Inside IR35

Experience

* 10+ years of professional experience as a Quantitative Developer or Senior Software Engineer within financial services.

Role Overview

We are seeking an experienced Quantitative Developer to build and enhance high-performance trading and analytics platforms. The role involves close collaboration with quantitative researchers and trading teams to deliver robust, scalable, and production-ready systems in a fast-paced environment.

Key Responsibilities

* Design, develop, and maintain high-performance trading, pricing, and analytics systems

* Implement quantitative models and strategies using C/C++ and Python

* Optimise applications for low latency, high throughput, and stability

* Work extensively in Linux environments, including automation via shell scripting

* Collaborate with quants, traders, and technology teams to product ionise research

* Troubleshoot complex production issues and drive continuous performance improvements

* Adhere to best practices for code quality, testing, and version control using Git

Required Skills & Experience

* Expert-level development experience in C and/or C++

* Strong hands-on experience with Python in production environments

* Deep knowledge of Linux systems, performance tuning, and debugging

* Proficiency in shell scripting (Bash or similar)

* Strong experience with Git and collaborative development workflows

* Proven experience delivering mission-critical systems in financial services

Desirable Skills

* Background in quantitative finance, trading systems, or capital markets

* Experience with low-latency architectures, multithreading, and concurrency

* Understanding of numerical methods, statistics, or financial models
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