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For Companies At a Glance
- Tasks: Build and scale innovative trading systems while driving automation and efficiency.
- Company: Join Cubist Systematic Strategies, a cutting-edge affiliate of Point72.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of systematic trading.
- Qualifications: Bachelor's in STEM, 2+ years Python experience, and a passion for technology.
- Other info: Exciting opportunity to contribute to a fast-paced, collaborative environment.
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, fuelled by our unparalleled access to a wide range of publicly available data sources.
About the team
The team focuses on systematic equity trading and, while established, is scaling its trading activity, offering an opportunity to join at a key stage and contribute across multiple 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. We require London based in the short term to maximise team efficiency, but are flexible in location in the medium and long term.
Role/Responsibilities
An ideal growth role for a developer seeking opportunities across the full startup lifecycle—from building from scratch to scaling and expansion—while gaining an understanding of how technology drives efficiency and impact.
- Building components for all aspects of live trading and research environments.
- Driving automation and robustness of the team’s 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 of commercial experience with Python and its data science libraries.
- Experience with Linux and basic bash scripting.
- Solid understanding of computation, OOP/architecture design, and data engineering.
- Knowledge and experience with trading systems, e.g., transaction costs modelling, optimization.
- Accountable, self-driven, with high standards for deliverables and performance.
- Ability to work and deliver in a fast pace.
- Ability to balance attention to detail with execution and delivery focus in a pragmatic manner.
- Ability to work with ambiguous requirements.
- Commercial use of cloud compute and containers a plus.
- Strong analytical skills and command of statistics a plus.
- Commitment to the highest ethical standards.
Quantitative Developer employer: Point72 Careers
Contact Detail:
Point72 Careers 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, attend meetups, and connect with current employees at Cubist. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise and passion for development.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding trading systems. Practice common algorithms and data structures, and be ready to discuss how you’d tackle real-world problems in a trading environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
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, data science libraries, and any relevant projects that showcase your skills in trading systems and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic trading and how your background makes you a perfect fit for the team. Don’t forget to mention your understanding of computation and OOP!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in past roles. This could be anything from troubleshooting issues in trading systems to developing robust data handling procedures. We love seeing analytical minds at work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Point72 Careers
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and data science libraries. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Trading Landscape
Familiarise yourself with trading systems and concepts like transaction costs modelling and optimisation. Being able to speak knowledgeably about these topics will show that you're not just a developer, but someone who understands the business side of things too.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous requirements or troubleshooting issues in past roles. Highlight your analytical skills and how they helped you drive automation and robustness in processes.
✨Be Ready for a Fast-Paced Environment
Demonstrate your ability to work under pressure and deliver results. Share experiences where you balanced attention to detail with execution, especially in high-stakes situations. This will resonate well with the team’s focus on efficiency and impact.
