Quantitative Development - Trading Optimization
Listed on 2026-02-07
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Software Development
Data Scientist, Software Engineer
Overview
Our client is a global trading firm where engineers are deeply embedded in the business, designing, building, and scaling systems that directly power trading worldwide, around the clock.
The firm takes a scientific, data-driven approach to decision making, combining software engineering, quantitative research, and automation to solve complex, high-stakes problems across global markets.
About the Role
You’ll work with Researchers and finance teams to build a new generation of Quantitative Treasury systems, tackling complex quantitative and engineering challenges while shaping the core infrastructure that enables research and finance to drive critical business decisions.
This is a rare opportunity to design and build high-impact systems that enable smarter, faster, and more informed decisions across the firm.
Responsibilities- Design and develop a scalable Treasury optimization and research platform from the ground up
- Build systems that enable better decision-making around funding, cash, and collateral management
- Partner with quantitative researchers, finance, and trading teams to automate workflows and improve efficiency
- Lead architectural design discussions and set the technical direction
- Strong programming background, ideally in Python, with experience building data-heavy or computational systems
- Solid understanding of software design, performance optimization, and distributed systems
- Excellent communicator and collaborator
- * Interest a/o experience in Treasury, capital efficiency, liquidity management, or optimization problems is a plus
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