Quantitative Developer - QIS Platform

Selby Jennings
City of London, England
8 months ago
Applications closed

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Machine Learning Engineer Modelling

Newton Colmore Guatemala
Hybrid
Posted
30 Dec 2025 (8 months ago)

A high-performing QIS team at a Tier‑1 Bank in London is undergoing a exciting expansion. The team is revisiting its trading platform to better manage the growing demand of their QIS business. This is an ambitious project that aims to ensure the bank remains a leader in the QIS space.

The hire will inherit a legacy platform though will be instrumental in shaping the future of the platform, alongside the established Hiring Manager and a dedicated team of developers and software engineers.

The platform will be used by front‑office quantitative researchers, structurers, and traders; the hire must have strong communication skills to best integrate their needs and priorities in the platform.

This is a VP‑level opportunity.

Responsibilities
  • Contribute to the rebuild of a front‑office QIS platform, integrating modern tooling and scalable architecture.
  • Develop robust, maintainable software with strong versioning, caching, and execution environments.
  • Collaborate with structurers, traders, and quant teams to deliver high‑impact solutions.
  • Build tooling to support market data access and AI‑enhanced user experiences.
Requirements
  • 3‑10 years of experience building production‑grade software.
  • Proficiency in Python and at least one other language (e.g., Rust, Haskell, etc.).
  • Experience building and maintaining long‑term software projects.
  • Strong Computer Science fundamentals (algorithms, data structures, design principles).
  • An advanced degree in Computer Science, or related degrees (optional, but preferred).
  • Exposure to greenfield projects and experience scaling them up (optional, but preferred).
Seniority level
  • Associate
Employment type
  • Full‑time
Job function
  • Engineering and Finance
Industries
  • Investment Banking

Location: London, England, United Kingdom

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