Research Engineer - Systematic Trading

Acquire Me; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Acquire Me, a leading quantitative trading firm, seeks experienced Software and Research Engineers to join teams powering quantitative research and systematic trading. This role emphasizes solving engineering challenges at scale, enabling researchers to access data, run experiments, simulate markets, and distribute compute efficiently.

You will work on building large-scale distributed systems, data processing infrastructure, and robust production software where performance and resilience matter,

Qualifications

• Bachelor's degree or higher in a STEM field (CS, Math, Physics, Engineering).
• Experience building complex, scalable or distributed software systems.
• Strong programming ability, especially Python.
• C, C++, or Java backgrounds encouraged.
• Ability to reason about complex systems and make thoughtful engineering trade-offs; ownership mindset.

Responsibilities

• Build large-scale distributed systems and research platforms used by researchers.
• Develop infrastructure for data processing, simulation, backtesting and large-scale experimentation.
• Improve speed, scalability and reliability of research workflows across datasets and compute environments.
• Design systems that help researchers move ideas from experimentation into production.
• Build robust production software where performance, correctness and resilience are critical.

Skills

Systems design

Data structures

Algorithms

Distributed systems

Python

C

C++

Java

Systems thinking

Ownership

Education

Bachelor's degree or higher in STEM

Job description

A leading quantitative trading firm is seeking experienced Software and Research Engineers to join teams building the core technology that powers quantitative research and systematic trading.

The focus is on solving difficult engineering problems at scale: improving how researchers access data, run experiments, simulate markets, distribute compute and move successful research into production.

What You'll Work On

• Building large-scale distributed systems and research platforms used directly by quantitative researchers
• Developing infrastructure for data processing, simulation, backtesting and large-scale experimentation
• Improving the speed, scalability and reliability of research workflows across large datasets and compute environments
• Designing systems that help researchers move successful ideas from experimentation into production
• Building robust production software where performance, correctness and resilience are critical

What You'll Bring

• Strong software engineering fundamentals, particularly around systems design, data structures and algorithms
• Bachelor's degree or higher in a STEM discipline, such as Computer Science, Mathematics, Physics, Engineering or a related quantitative field
• Experience building complex, scalable or distributed software systems
• Strong programming ability, with Python particularly relevant
• Engineers from C, C++ or Java backgrounds are also strongly encouraged to apply
• Ability to reason about complex systems and make thoughtful engineering trade-offsStrong ownership mentality and an interest in working closely with highly technical research teams

Previous experience in quantitative finance or trading is not required. These teams actively hire engineers from technology companies, infrastructure teams and other technically demanding environments.