Goodman Masson
Lead Quantitative Software Engineer
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We are partnering with an established, high-growth global capital markets fintech
This fintech provides sophisticated analytics and portfolio intelligence software to institutional investors. Following recent major private equity expansion funding, the platform supports leading institutional asset managers and global investment banks with comprehensive strategy analytics and risk reporting. To support growing client coverage across European and US markets, the firm is expanding its primary UK engineering centre.
The Role
We are seeking an experienced, hands-on Technical Lead to serve as a senior technical anchor for a growing London engineering team. In this role, you will lead the ongoing design and delivery of core platform software while driving broader technical initiatives across our analytics architecture. You will balance day-to-day feature development and system enhancements with contributing to the specification and implementation of key quantitative calculation projects, including a new in-house multi-asset calculation framework.
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This position combines core quantitative software engineering with architectural guidance, technical mentorship, and cross-office collaboration. Reporting to the global Head of Engineering, you will act as the local technical lead for developers in London while remaining directly involved in writing high-performance production code.
Key Responsibilities
- Architecting and building quantitative software solutions, supporting core platform features alongside new calculation modules.
- Writing production-grade code across the core calculation stack using Python and C++, while integrating APIs and full-stack services with TypeScript, Node.js, and Kotlin.
- Collaborating closely with international Product and Risk leads to translate quantitative models and business requirements into scalable software.
- Providing technical leadership, architectural guidance, and code review for a growing team of local developers.
- Owning key architectural decisions in a low-hierarchy, growth-oriented engineering environment.
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What We Are Looking For
- 10 to 15+ years of software engineering experience delivering enterprise-grade software within financial services, banking, asset management, hedge funds, or quantitative fintech environments.
- Practical experience implementing financial formulas, risk factor models, Monte Carlo simulations, or portfolio analytics in code.
- Solid understanding of market risk concepts such as Value at Risk, stress testing, and factor exposures across mainstream asset classes.
- Strong hands-on development background in Python and C++, with flexibility to work across web stacks and JVM services.
- Comfort operating in a fast-moving environment and bridging high-level mathematical specifications with low-level calculation code.
This role will offer a competitive package, including share options as well as high visibility and direct technical ownership over core engineering initiatives.
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