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- Tasks: Design and maintain high-performance trading systems for systematic strategies.
- Company: Cubist Systematic Strategies is a leading firm in computer-driven trading.
- Benefits: Enjoy competitive pay, flexible work options, and a dynamic team environment.
- Why this job: Join a culture of innovation and impact in the financial markets.
- Qualifications: Bachelor's or Master's in Computer Science, Engineering, or Mathematics required.
- Other info: Ideal for those passionate about technology and finance.
The predicted salary is between 43200 - 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 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.
Responsibilities may include:
- 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.
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Contact Detail:
Point72 Asset Management, L.P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and systematic strategies. Understanding the current market landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your programming skills, especially in Python, C++, or Java. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop high-performance systems, as this will make you stand out.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn more about the company culture at Cubist Systematic Strategies.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems. Focus on scenarios related to trading systems and data pipelines, as this will help you demonstrate your problem-solving skills effectively.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific responsibilities and requirements for the Quantitative Developer position. Tailor your application to highlight relevant experiences and skills that match what Cubist is looking for.
Highlight Technical Skills: Make sure to emphasise your proficiency in programming languages such as Python, C++, or Java. Provide examples of projects or experiences where you applied these skills, especially in a quantitative development or trading context.
Showcase Problem-Solving Abilities: Include specific instances where you've tackled complex problems or developed innovative solutions. This could be through academic projects, previous work experience, or personal projects that demonstrate your analytical thinking and problem-solving capabilities.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role and the company. Mention why you are interested in working at Cubist and how you can contribute to their systematic trading strategies.
How to prepare for a job interview at Point72 Asset Management, L.P
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, C++, or Java. Bring examples of past projects where you developed trading systems or data pipelines, and be ready to explain your thought process and the challenges you faced.
✨Understand the Trading Environment
Familiarise yourself with systematic trading strategies and market anomalies. Demonstrating knowledge about how these concepts apply to the role will show your genuine interest and understanding of the industry.
✨Prepare for Problem-Solving Questions
Expect to encounter technical problem-solving questions during the interview. Practice coding challenges and algorithmic problems that reflect real-world scenarios in quantitative development to showcase your analytical skills.
✨Emphasise Team Collaboration
Since the role involves working closely with researchers, traders, and technology teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully worked in teams to align technical solutions with business needs.
