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- Tasks: Build and enhance trading systems while driving automation and ensuring robust processes.
- Company: Join Cubist Systematic Strategies, a leading tech-driven trading firm in London.
- Benefits: Competitive salary, hands-on experience, and a collaborative team environment.
- Why this job: Be part of an innovative team shaping the future of systematic trading.
- Qualifications: Bachelor’s in computer science or STEM, 2+ years Python experience, and analytical skills.
- Other info: Exciting growth opportunities in a dynamic, supportive workplace.
The predicted salary is between 36000 - 60000 £ per year.
About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
About the team: The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction.
Role and Responsibilities: An ideal growth role to suit a developer looking for additional responsibilities and independence. Building components for all aspects of live trading and research environments. Driving automation and robustness of our processes. Developing robust data checking and handling procedures. Monitoring and troubleshooting any issues that should arise. Shared responsibility for timely and correct operation of trading systems.
Requirements:
- Bachelor’s degree or equivalent in computer science or other STEM discipline
- 2+ years commercial experience with Python and its data science libraries on Linux.
- Pragmatic balance between attention to detail and delivery focus.
- Ability to work with ambiguous requirements.
- Self-driven, owning problems while knowing when to seek advice.
- Knowledge of finance and trading systems a plus.
- Experience with a systems programming language (e.g. C++, Rust) a plus.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Be in the office five days a week.
- Commitment to the highest ethical standards.
Quantitative Developer employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cubist or similar firms. 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 project or two that showcases your Python prowess or any cool data science work, make sure to highlight them. A portfolio can speak volumes!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of trading systems and market anomalies. Being able to discuss these topics confidently will set you apart from the crowd.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Cubist.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your experience with Python and any relevant projects that showcase your skills in data science and trading systems. We want to see how your background fits with what we're doing at Cubist!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the opportunity at Cubist and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex problems or worked with ambiguous requirements. We value self-driven individuals who can own their challenges while knowing when to ask for help.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Cubist!
How to prepare for a job interview at Point72
✨Know Your Tech Stack
Make sure you’re well-versed in Python and its data science libraries, as well as any systems programming languages like C++ or Rust. Brush up on your knowledge of Linux environments too, as this will be crucial for the role.
✨Understand the Trading Landscape
Familiarise yourself with systematic trading strategies and market anomalies. Having a solid grasp of finance and trading systems will not only impress your interviewers but also show that you're genuinely interested in the field.
✨Showcase Problem-Solving Skills
Be prepared to discuss how you've tackled ambiguous requirements in past projects. Highlight your ability to own problems while knowing when to seek help, as this is key for a self-driven developer.
✨Demonstrate Attention to Detail
Since the role involves building components for live trading, it’s essential to showcase your attention to detail. Prepare examples of how you’ve ensured robustness and reliability in your previous work, especially in data handling and automation.
