Find a job 
Featured Companies 
Featured Universities 
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 firm in systematic trading.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful decisions in the finance tech space.
- Qualifications: Bachelor's in STEM, 2+ years Python experience, and a passion for technology and trading.
- Other info: Exciting opportunity to contribute to a growing team with a startup vibe.
The predicted salary is between 48000 - 84000 £ 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 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 maximize 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
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, 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 portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and data science libraries. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems!
✨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, data science libraries, and any relevant projects that showcase your skills in trading systems. We want to see how you fit into our world!
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 aligns with our team's goals. Let us know what excites you about joining Cubist and how you can contribute.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially in automation and data handling. It gives us a glimpse of what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly. Plus, it shows you're keen on joining our team at Cubist!
How to prepare for a job interview at Point72
✨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 issues in past roles, especially in fast-paced environments. Highlight your ability to troubleshoot and monitor systems, as this is crucial for the role.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the company and the team. Inquire about their current projects, challenges they face, or how they measure success. This shows you're genuinely interested and engaged.
