Quantitative Trading Systems Engineer — Treasury Optimization

Acquire Me; New York (NY); On-site; USD 200,000 - 250,000; Full time

Job summary

A global trading firm is seeking a Mid-Senior level Engineer to design and develop scalable Treasury optimization systems. This role involves collaborating with finance teams and quantitative researchers to tackle complex engineering challenges. Candidates should have a strong programming background in Python and a solid understanding of software design and distributed systems. This is a full-time position located in New York, offering competitive compensation.

Qualifications

• 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 or experience in Treasury, capital efficiency, liquidity management, or optimization problems is a plus.

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.

Skills

Programming in Python

Software design

Performance optimization

Distributed systems

Excellent communication

Interest in Treasury concepts

Job description

A global trading firm is seeking a Mid-Senior level Engineer to design and develop scalable Treasury optimization systems. This role involves collaborating with finance teams and quantitative researchers to tackle complex engineering challenges. Candidates should have a strong programming background in Python and a solid understanding of software design and distributed systems. This is a full-time position located in New York, offering competitive compensation.