Quantitative Research Engineer - Trading Systems & Data

P2P; Chicago (IL); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

401k with employer match

Medical, dental, vision insurance

Flexible spending accounts

Job summary

DRW, headquartered in Chicago, seeks a Research Engineer to join a systematic trading team tackling challenging tech problems across software design, data engineering, distributed computing, and quantitative modeling.

You will collaborate with technologists and traders, be mentored by leading engineers, and contribute to a scalable tech stack while developing new technologies impacting our business. A strong background in C++ and Python is required.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Excellent software development skills in modern C++ and Python.
• Strong understanding of object oriented design, data structures and algorithms.
• Solid understanding of quantitative finance mathematics.
• Ability to think, communicate, and code clearly.
• Experience with building robust software systems and distributed computing.

Responsibilities

• Work with researchers to implement studies, simulate strategies, and develop algorithms.
• Design trading strategy simulation software optimized for distributed computation.
• Develop software for large-scale data acquisition, storage, accessibility, and visualization.
• Create user interfaces for data exploration and post-trade analysis.
• Accelerate the research lifecycle from prototype to production deployment.
• Evaluate new technology and improve our technology stack.

Skills

C++

Python

Multi-threading

OO Design

Algorithms

Quant Finance Math

Education

Bachelor's degree in CS/CE or related

Job description

DRW, headquartered in Chicago, seeks a Research Engineer to join a systematic trading team tackling challenging tech problems across software design, data engineering, distributed computing, and quantitative modeling.

You will collaborate with technologists and traders, be mentored by leading engineers, and contribute to a scalable tech stack while developing new technologies impacting our business. A strong background in C++ and Python is required.