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- Tasks: Build and enhance trading systems while driving automation and ensuring robust processes.
- Company: Join Cubist Systematic Strategies, a leading firm in systematic trading.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Be part of an innovative team and make a real impact in finance technology.
- Qualifications: Bachelor’s in computer science or STEM, 2+ years Python experience, and strong analytical skills.
- Other info: Collaborative office culture in London with a focus on communication and teamwork.
The predicted salary is between 48000 - 72000 £ 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. Responsibilities may include:
- 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 in City of London employer: Point72 Asset Management, L.P
Contact Detail:
Point72 Asset Management, L.P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Cubist or similar firms on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best projects. This is your chance to demonstrate your Python prowess and any cool automation tools you've built.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to tackle some real-world problems. Practice makes perfect, so consider mock interviews with friends or online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Quantitative Developer in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any data science libraries you've used. We want to see how your skills can contribute to our systematic trading strategies!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quantitative Developer role. Mention your experience with Linux and any relevant projects that showcase your problem-solving abilities.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for the role without rambling on.
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’s super easy!
How to prepare for a job interview at Point72 Asset Management, L.P
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant data science libraries. Be ready to discuss your past projects and how you've used these tools in real-world scenarios. If you have experience with C++ or Rust, don’t forget to highlight that too!
✨Understand the Trading Landscape
Familiarise yourself with basic finance concepts and trading systems. Knowing how systematic trading works will give you an edge. You might even want to read up on recent market anomalies that Cubist is interested in.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous requirements in previous roles. Think about times when you took ownership of a problem and how you approached finding a solution. This will demonstrate your self-driven nature and analytical skills.
✨Be Ready for Team Dynamics
Since the team values communication and collaboration, be prepared to discuss how you work within a team. Share experiences where you’ve successfully collaborated with others, especially in high-pressure situations. This will show that you can thrive in their office environment.
