Lead Quantitative Software Engineer

Goodman Masson; Greater London; On-site; GBP 120,000 - 180,000; Full time

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Job summary

Goodman Masson partners with a high-growth fintech to lead a London engineering team focused on core platform software and quantitative calculation frameworks. You will drive architectural decisions, mentor developers, and deliver high-performance production code in Python and C++, while bridging product and risk requirements across teams.

The role combines hands-on coding with architectural guidance in a fast-moving environment, reporting to the Head of Engineering and supporting global product

Qualifications

• 10–15+ years of software engineering in financial services.
• Experience implementing financial formulas or risk models.
• Strong Python and C++ development background.
• Exposure to web stack technologies (TypeScript/Node.js/Kotlin).

Responsibilities

• Architect and build quantitative software for core platform features.
• Write production-grade code in Python and C++, integrating APIs and services.
• Collaborate with Product and Risk leads to translate models into software.
• Provide technical leadership and code reviews for the London team.
• Own key architectural decisions in a growth‑oriented environment.

Skills

Python

C++

TypeScript

Node.js

Kotlin

Leadership

Architecture

Job description

We are partnering with an established, high-growth global capital markets fintech that 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.

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.

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.