Tech Lead - Quant Trading

Acquire Me; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Acquire Me in New York is seeking a Tech Lead for Quant Research & Trading Systems to shepherd the next generation of productionised research platforms. You will shape architecture, lead a team, and ensure performance, scalability and reliability from prototype to live trading.

You’ll work closely with Quant Researchers and senior stakeholders to move fast while maintaining rigorous engineering standards, and you’ll remain hands-on with design, implementation and code review as the platform

Qualifications

• Extensive experience in designing and building large-scale distributed systems.
• Proficient in Python, C++, or Rust.
• Experience leading engineering teams and guiding technical direction.
• Ability to work with highly technical stakeholders and not rely on predefined solutions.

Responsibilities

• Lead the engineering of platforms that take quantitative research from experimentation to production.
• Partner with Quant Researchers to identify bottlenecks and engineer solutions.
• Build systems to test, scale, and productionise new strategies quickly.
• Drive decisions across greenfield and existing systems while maintaining hands-on design and review.
• Provide technical leadership and raise standards across the team.
• Collaborate with senior stakeholders on longer-term platform strategy.

Skills

Python

C++

Rust

Distributed systems

Technical leadership

Job description

Tech Lead – Quant Research & Trading Systems

A leading quantitative investment firm is expanding into faster, more technically demanding trading strategies - creating a new set of engineering challenges around how research is developed, scaled and ultimately deployed into live markets.

You’ll lead a team building the distributed systems, data platforms and production infrastructure that take quantitative research from experimentation through to live trading. As the firm pushes into faster strategies, you’ll help determine how that platform needs to evolve across performance, scalability, reliability and speed of productionisation.

There’s a significant amount of greenfield engineering ahead. This is an opportunity to influence the architecture early, rather than inherit a mature platform where the major technical decisions have already been made.

What You’ll Do

• Lead the engineering of platforms that take quantitative research from experimentation to production
• Partner directly with Quant Researchers to understand bottlenecks in the research lifecycle and engineer solutions
• Build systems that allow new strategies and models to be tested, scaled and productionised faster
• Solve challenging problems around performance, scalability, reliability and large-scale data processing
• Drive technical decisions across greenfield and existing systems
• Remain hands‑on with design, implementation and code review
• Provide technical leadership to strong engineers and raise standards across the team
• Work with senior engineering and investment stakeholders on longer‑term platform strategy

What We’re Looking For

• An exceptional software engineer who has progressed into technical leadership
• Deep experience designing and building large-scale distributed systems
• Strong programming skills in Python, C++ or Rust
• Comfortable working with highly technical stakeholders on problems where the solution isn’t predefined
• Someone who still wants to design and build, rather than move into pure management

Prior quantitative finance experience isn’t essential.

We’re interested in engineers who have built sophisticated systems at scale and want to apply that experience closer to research and investment outcomes.

High technical ownership, exceptional engineering culture and highly competitive cash compensation.

All conversations strictly confidential.