Research Engineer: Build Next-Gen Trading Algorithms

Unchain Data; New York, Northern (NY, KY); Hybrid; USD 175,000 - 225,000; Full time

Benefits offered by this job

Group medical

Dental and vision insurance

401k with discretionary match

Short and long-term disability

Life and AD&D insurance

Health savings accounts

Flexible spending accounts

Job summary

DRW is seeking a Research Engineer to join a fast-moving systematic trading team. You will work with researchers to implement studies, simulate strategies, and build scalable algorithms used in financial markets.

Collaborate closely with traders, portfolio managers and other engineers to move from prototype to production, while evaluating new tech and improving the stack for low-latency systems.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 2+ years' experience using Python in a production setting.
• Strong understanding of quantitative finance and mathematics.
• Experience with Linux-based, large-scale, concurrent, high-throughput, low-latency software systems.
• Track record of delivering production systems in fast-moving, ambiguous environments.
• Exceptional interpersonal and stakeholder communication.

Responsibilities

• Work directly with researchers to implement studies, simulate trading strategies, and develop algorithms.
• Embed with trading desks; collaborate with traders and portfolio managers to model problems.
• Collaborate with engineering teams to advance research prototypes to production.
• Evaluate new technology and continuously improve the technology stack.

Skills

Python

Quantitative finance

Interpersonal skills

Customer collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Linux-based systems

C/C++

Rust

Zig

Job description

DRW is seeking a Research Engineer to join a fast-moving systematic trading team. You will work with researchers to implement studies, simulate strategies, and build scalable algorithms used in financial markets.

Collaborate closely with traders, portfolio managers and other engineers to move from prototype to production, while evaluating new tech and improving the stack for low-latency systems.