Python Software Engineer, Trading Platform

DRW; Greater London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A diversified trading firm is seeking a skilled Software Engineer to enhance their trading platform. The successful candidate will manage proprietary trading systems, write performance-sensitive Python code, and collaborate across teams to implement effective technology solutions. A Bachelor's or Master's degree in Computer Science or a related field and a minimum of 3 years experience with Python are required. This role offers opportunities to work on impactful, high-profile projects.

Qualifications

• 3 years of experience building demanding, live systems in Python.
• In-depth knowledge of Python, up to current standards (3.11 onwards).
• Solid understanding of data structures.

Responsibilities

• Manage technology requirements of proprietary trading systems.
• Utilize in-house infrastructure to improve trading workflows.
• Write performance-sensitive code and user-friendly APIs.

Skills

Python

Verbal communication

Written communication

Data structures

Education

Bachelor’s or Master’s degree in Computer Science or related Engineering discipline

Tools

TeamCity

Jenkins

Linux

Job description

About DRW

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.

Position Overview

DRW is seeking an exceptional Software Engineer to join a newly created team responsible for designing and developing tools and infrastructure used by Traders and Quantitative Researchers. In this role, you will collaborate with people across the firm to provide cutting‑edge technology solutions that expand our existing trading platform, all while promoting software engineering best practices. You will be presented with an opportunity to work on high‑profile projects that have an impact across the organization.

Responsibilities

• Manage the day‑to‑day technology requirements of our proprietary trading systems.
• Accelerate trading and research analysis workflows by utilizing and expanding on DRW’s in‑house infrastructure to improve productivity.
• Evaluate new technologies and identify/deprecate legacy code to improve the current technological stack.
• Collaborate with other engineers, traders, and researchers to design custom frameworks or end‑user solutions.
• Write performance‑sensitive code and user‑friendly APIs to facilitate access to our in‑house data analysis infrastructure.
• Lead design discussions and conduct code reviews to maintain high standards and quality of written code.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
• Minimum of 3 years of experience building demanding, live systems in Python.
• In‑depth knowledge of Python and stays up with current standards (3.11 onwards).
• Up‑to‑date knowledge of the Python ecosystem: third‑party libraries, packaging in‑built Python libraries.
• Solid understanding of data structures.
• Strong verbal and written communication skills.
• Knowledge of CI software, such as TeamCity or Jenkins.
• Familiarity with Linux.
• Ability to mentor others and lead small projects.

Bonus Points

• Experience in the trading industry.
• Familiarity with the scientific Python stack.
• Understanding of the latest in Python package management.

Legal Notices

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