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- Tasks: Develop scalable solutions for low-latency risk calculations and support risk systems.
- Company: ExodusPoint Capital, a dynamic investment management firm with a global approach.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Fast-paced environment with exposure to innovative technologies and career advancement.
- Why this job: Join a cutting-edge team and make an impact in the finance tech space.
- Qualifications: Degree in Computer Science or Engineering, strong analytical skills, and programming experience.
The predicted salary is between 50000 - 70000 £ per year.
ABOUT EXODUSPOINT ExodusPoint Capital, founded in 2017 by Michael Gelband, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework.
The Risk Technology team is looking to hire bright, motivated candidates with a strong background in Computer Science and Mathematics. A strong foundation in Data Structure and Algorithms, expertise in one or more programming languages and database management systems is essential. The candidate will be working closely with the business counterparts in Risk on both the Fixed Income and Equities side. In addition, the candidate would work with the risk tech team to architect and develop robust, low-latency, scalable solutions and help the team support the Risk business.
Responsibilities:- Develop scalable/high performance solutions for low-latency Risk calculations
- Liaise with Risk managers to understand the business requirements
- Work as a part of a team of strong developers
- Support Risk Systems and be a part of End of Day support cycle
- Implement Best Practices and ensure a robust Risk Tech Framework
- Bachelor’s degree in Computer Science or related Engineering field
- Strong analytical and problem skills
- Self-Motivated, passionate, capable of working in a fast-paced environment
- Experience in Multi-threading, Client-Server and Distributed computing
- Good understanding of various Design Patterns, Algorithms and Data structures
- Experience working with SQL
- Mathematical skills, with interest and exposure to quantitative finance
- Excellent communication skills
- Exposure to AWS/Cloud Technologies
- Exposure to PYTHON/Pandas
- Exposure to JAVA/Spring/SpringBoot/Microservices framework
- Exposure to AI/ML
- Experience with Service Oriented Architecture
- Exposure to messaging libraries
- Good understanding of CI/CD; Unit and Integration testing
- Experience working in Linux environment
- Exposure to Finance and pricing of basic instruments
- Exposure to NoSQL databases
Risk Developer in London employer: ExodusPoint Campus
Contact Detail:
ExodusPoint Campus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ExodusPoint. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or code samples, share them during interviews. It’s a great way to demonstrate your expertise in programming and problem-solving.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges online to get into the groove of solving problems under pressure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows your genuine interest in joining the team at ExodusPoint.
We think you need these skills to ace Risk Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Risk Developer role. Highlight your experience with programming languages, data structures, and algorithms. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to develop scalable solutions. If you've worked on multi-threading or distributed computing, let us know! We love seeing practical applications of your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about risk technology and how your background in Computer Science and Mathematics makes you a great fit for our team. Keep it engaging and personal!
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 shows you’re keen on joining our team at ExodusPoint!
How to prepare for a job interview at ExodusPoint Campus
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages and database management systems. Be ready to discuss your experience with SQL, Python, and any other relevant technologies. They’ll likely ask you to solve problems on the spot, so practice coding challenges that focus on data structures and algorithms.
✨Understand the Business Side
Familiarise yourself with the basics of risk management in finance. Knowing how your technical skills apply to the business requirements will show that you’re not just a coder but someone who understands the bigger picture. Research ExodusPoint’s approach to risk and be prepared to discuss how you can contribute.
✨Show Off Your Team Spirit
Collaboration is key in this role, so be ready to talk about your experiences working in teams. Share examples of how you’ve successfully liaised with non-technical stakeholders or supported your teammates in past projects. Highlighting your communication skills will set you apart.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would handle low-latency calculations or support issues in a fast-paced environment. Practising these types of questions will help you articulate your thought process clearly during the interview.