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- Tasks: Design and develop software for global trading operations using Python and C++.
- Company: Join DRW, a leading trading firm with a culture of innovation and respect.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Why this job: Make an impact in finance tech while working with cutting-edge tools and data.
- Qualifications: Experience in Python, strong communication skills, and a passion for learning.
- Other info: Dynamic team environment with excellent career growth potential.
The predicted salary is between 30000 - 50000 £ per year.
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.
Cumberland Systematic is a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London.
We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team's existing systems are written in Python and C++.
Responsibilities:
- Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
- Accelerate the research lifecycle from data engineering to feature generation and analysis
- Integrate with diverse data sources such as blockchains, exchanges, and data vendors
- Test at the unit, functional, and integration levels
- Work within a small team as well as independently with a strong user focus
- Provide on-call support as needed
To qualify for this role, you must have:
- Python experience gained through professional experience
- Built complex systems in modern Python that are maintainable and safely refactorable
- Hands-on experience managing large, evolving timeseries data
- A working knowledge of type safety and type systems
- Strong verbal and written communication skills
- Strong internal motivation and a continual desire to learn
Bonus points if you have:
- Contributions to open-source crypto projects
- Production experience running full or archive blockchain nodes at scale
- Collaborated with quantitative researchers
- A working knowledge of high-level machine learning concepts and lifecycle
- Experience with functional programming and immutable design principles
- Practical knowledge of major blockchain types and clients
Software Engineer, Research – Cumberland Systematic in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Research – Cumberland Systematic in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those using Python and C++. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so get comfortable talking about your experience and projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Cumberland Systematic. Don’t miss out on this opportunity!
We think you need these skills to ace Software Engineer, Research – Cumberland Systematic in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer role. Highlight your Python and C++ experience, and any projects that showcase your ability to work with data management solutions. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background fits with our team at Cumberland Systematic. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing real-world applications of your skills, especially if they involve complex systems or data analysis.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do.
How to prepare for a job interview at DRW
✨Know Your Tech Stack
Make sure you’re well-versed in Python and C++. Brush up on your experience with complex systems and type safety, as these are crucial for the role. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Business
Familiarise yourself with DRW's trading strategies and how software engineering supports them. This will help you demonstrate your initiative and understanding of the business during the interview.
✨Prepare for Technical Questions
Expect questions that test your problem-solving skills and technical knowledge. Practice coding challenges and be prepared to explain your thought process clearly. This shows your ability to communicate effectively with quantitative researchers.
✨Show Your Passion for Learning
DRW values internal motivation and a desire to learn. Be ready to share examples of how you’ve pursued new knowledge or skills, especially in areas like blockchain or machine learning, which could give you an edge.