Software Developer (Research)

DRW Holdings, LLC.; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

A global trading firm in Montreal seeks a Software Developer to create software for algorithmic trading. Candidates should have experience in Python or C/C++, a strong understanding of network protocols, and a Bachelor's or Master's degree in a relevant field. This role emphasizes collaboration and technical leadership in a dynamic environment.

Qualifications

• 2–10 years’ experience building real-time or data-intensive systems.
• Clear communicator able to distil complex findings.
• Proven ability to create rapid POCs and iterate quickly.

Responsibilities

• Develop critical software for algorithmic trading strategies.
• Integrate exchange feeds and market news for trading strategy.
• Collaborate in a high-stakes, sports-team culture.

Skills

Python

C/C++

Go

Rust

Network Programming

Education

Bachelor’s or Master’s in Computer Science, Data Science, Mathematics

Tools

AWS

Kafka

Redis

PostgreSQL

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for a passionate Software Developerto join our team. You will develop critical software that our traders, researchers and engineering teams use to implement and analyze our algorithmic trading strategies. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed

HOW YOU WILL MAKE AN IMPACT

Discovery & Research

• Expand and refine our event-driven trading strategy by integrating exchange feeds, market news, social media, and infrastructure telemetry.
• Spin up rapid analyses in Python/Jupyter (pandas / numpy, plotly / seaborn) to assess signal quality.
• Deliver concise research notes and visualisations that guide iterative system improvements.
• Own full-stack performance—from the network edge to in-memory stores and everything in between.
• Instrument, monitor, and debug production systems alongside operations, keeping SLOs razor-sharp.

Technical Leadership & Collaboration

• Lead green-field initiatives, conduct design reviews, and run post-mortems that drive continuous improvement.
• Contribute to a high-stakes, sports-team culture that celebrates wins, learns quickly from losses, and continually raises the bar.

WHAT YOU BRING

• Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or a related discipline.
• 2–10 years’ experience building real-time or data-intensive systems in Python, C/C++, Go, or Rust (fluency in multiple languages is a plus).
• Clear communicator able to distil complex findings for both technical and non-technical audiences.
• Deep knowledge of network programming and protocols (TCP/UDP/IP, DNS, BGP, HTTP(S), WebSocket, QUIC).
• Proven ability to create rapid POCs, validate statistical significance, iterate quickly, and ship to production.

BONUS POINTS

• Hands-on experience with at least one major cloud platform (AWS, Azure, GCP etc).
• Demonstrated success squeezing latency from NGINX, Envoy, or custom load-balancing layers.
• Familiarity with Kafka, RabbitMQ, Redis, MongoDB, PostgreSQL, ELK, or similar data technologies.
• Background in high-pressure domains—trading floors, esports, competitive athletics, or hackathons.
• Open-source contributions, technical blogging, or conference speaking.

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