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- Tasks: Manage and enhance proprietary trading systems using Python.
- Company: DRW, a leading trading firm with a culture of innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in the trading industry.
- Qualifications: 3+ years of Python experience and strong problem-solving skills.
- Other info: Collaborative atmosphere with mentorship opportunities and cutting-edge technology.
The predicted salary is between 36000 - 60000 £ 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. 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.
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 and improve productivity.
- Evaluate new technologies and identify/deprecate legacy code to improve on 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 keeps 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.
Python Software Engineer, Trading Platform in London employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer, Trading Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space, especially those who work at DRW. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or personal project that showcases your Python prowess, make sure to highlight it. We love seeing real-world applications of your coding skills.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and coding challenges. We want to see how you think and solve problems, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in joining our team at DRW.
We think you need these skills to ace Python Software Engineer, Trading Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant projects you've worked on, especially those related to trading systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how your background aligns with our values at DRW. Share specific examples of your work that demonstrate your ability to innovate and collaborate.
Showcase Your Technical Skills: Don’t just list your technical skills; provide context! Mention specific projects where you’ve used Python and any relevant technologies. This helps us see how you can contribute to our team right away.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at P2P
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the latest features from version 3.11 onwards. Be prepared to discuss your experience with third-party libraries and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some coding challenges during the interview. Practice writing performance-sensitive code and user-friendly APIs, as this will likely come up. Think about how you can demonstrate your understanding of data structures in your solutions.
✨Familiarise Yourself with Trading Concepts
Even if you're not a trading expert, having a basic understanding of the trading industry and its terminology can set you apart. Research DRW's trading strategies and be prepared to discuss how your technical skills can contribute to their goals.
✨Prepare for Collaborative Discussions
Since collaboration is key at DRW, think about examples where you've worked with others to solve problems or lead projects. Be ready to discuss how you approach design discussions and code reviews, highlighting your ability to maintain high standards.