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For Companies At a Glance
- Tasks: Join our team to support and enhance quantitative trading systems and analytics.
- Company: Cubist Systematic Strategies is a leader in systematic, data-driven trading strategies.
- Benefits: Enjoy career growth opportunities, collaborative culture, and access to cutting-edge technology.
- Why this job: Be part of a dynamic team that drives innovation in trading and research.
- Qualifications: 2+ years in support or software engineering; skilled in C++, Python, and SQL.
- Other info: Experience with low-latency trading systems and cloud tech is a plus.
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.
Role
Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems.
Responsibilities
- Troubleshooting/resolution of quantitative trading systems and other live analytics processes
- System monitoring, including development of better processes and tools
- New feature development in Python/C++
- Configuration and change management
- Onboarding assistance
Requirements:
- 2+ years of professional support and/or software engineering experience
- Experience with trading systems support (co-located low-latency systems a strong plus)
- Fluency with C++, Python and SQL
- Familiarity with software delivery lifecycle and production deployment
- Cloud experience is a strong plus
- Team player and strong communicator
Research Technology Support employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Technology Support
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, C++, and SQL. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the quantitative trading field. Attend industry meetups or online forums where you can connect with current employees at Cubist or similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your troubleshooting experiences in detail. Think of specific examples where you resolved issues in trading systems or analytics processes, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your ability to work collaboratively by preparing examples of past team projects. Highlight how you communicated effectively with different teams, as this role requires close collaboration with various departments at Cubist.
We think you need these skills to ace Research Technology Support
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Research Technology Support position. Familiarise yourself with the technologies mentioned, such as Python, C++, and SQL, as well as the trading systems context.
Tailor Your CV: Customise your CV to highlight relevant experience in support engineering and quantitative development. Emphasise your familiarity with trading systems and any specific projects that showcase your skills in Python, C++, or SQL.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role at Cubist. Discuss your experience with troubleshooting and system monitoring, and express your enthusiasm for working in a collaborative environment with multiple teams.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any spelling or grammatical errors, and ensure that your information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Point72 Careers
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, C++, and SQL in detail. You might be asked to solve coding problems or explain your thought process on past projects, so brush up on your technical knowledge and be ready to demonstrate your skills.
✨Understand the Trading Systems
Familiarise yourself with quantitative trading systems and the specific challenges they face. Research Cubist's approach to systematic trading and be ready to discuss how your background aligns with their needs, especially regarding low-latency systems.
✨Emphasise Team Collaboration
Since the role involves working closely with various teams, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated in the past, particularly in high-pressure environments.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about the team dynamics, the technologies they use, and the future direction of their trading strategies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
