Quantitative SWE - Trading 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

This range is provided by Acquire Me. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

About the Company

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

Skills and Experience

• 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

Seniority level

Mid-Senior level

Employment type

Full‑time

Job function

Information Technology, Engineering, and Research

Industries: Engineering Services, Financial Services, and Capital Markets