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- Tasks: Develop and maintain Python tools for systematic trading and risk analytics.
- Company: Leading global hedge fund with a high-performing front-office environment.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Collaborative atmosphere with strong focus on innovation and performance.
- Why this job: Join a cutting-edge team and make an impact in finance through technology.
- Qualifications: Degree in a quantitative field and 5+ years of relevant experience.
The predicted salary is between 80000 - 100000 £ per year.
Attribution Search is partnered with a leading global hedge fund, looking to hire Quantitative Developers across both Trading, and Data Platform & Risk Analytics teams. These roles offer the opportunity to work in a high-performing, front-office environment, building systems that directly support systematic trading, portfolio analytics, and risk management across multiple asset classes.
Responsibilities
- As a member of the team, you will be involved across the full software development lifecycle, working closely with quants, traders, and risk teams to deliver scalable and high-performance solutions.
- Developing and maintaining Python-based tools supporting systematic trading strategies.
- Supporting the full lifecycle of trading systems, from research and backtesting through to production deployment and monitoring.
- Building and maintaining data platforms and analytics systems covering P&L, VaR, scenarios, and exposure reporting.
- Designing and optimising data ingestion, storage, and access layers for large-scale financial datasets.
- Developing low-latency components in C# for performance-critical workflows.
- Ensuring production systems are reliable, well-tested, and scalable.
- Collaborating closely with stakeholders to translate business requirements into technical solutions.
Requirements
- Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
- 5+ years’ experience in quantitative development, software engineering, or data platform roles.
- Strong Python experience in a production environment.
- Experience working with data pipelines, analytics systems, or trading platforms.
- Exposure to high-performance or low-latency systems (C#, Java, or C++).
- Strong SQL skills and experience working with relational databases.
- Familiarity with large-scale data processing and time-series datasets.
- Experience with messaging systems (e.g. RabbitMQ, Kafka).
- Exposure to modern tooling such as Docker, Kubernetes, and cloud platforms (AWS).
- Understanding of systematic trading environments or financial products is beneficial.
- Strong analytical and problem-solving skills.
- Excellent communication and ability to work with cross-functional teams.
Candidates with relevant experience are encouraged to apply to find out more.
Quantitative Developer - Risk Analytics - Hedge Fund - London employer: Attribution Search
Contact Detail:
Attribution Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Risk Analytics - Hedge Fund - London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C#, or data analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in quantitative development. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Developer - Risk Analytics - Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Developer. Highlight your experience with Python, C#, and any relevant projects that showcase your skills in trading systems and data analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative development and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your technical skills clearly. Whether it's your experience with SQL, data pipelines, or cloud platforms like AWS, make sure we see how you can contribute to our high-performance environment.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Attribution Search
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and C#. Brush up on your SQL skills too, as they’ll likely ask you about data handling and querying during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in quantitative development. Think about how you’ve optimised systems or improved performance in past roles, as this will demonstrate your analytical abilities.
✨Understand the Business Context
Familiarise yourself with systematic trading environments and financial products. Being able to speak knowledgeably about how your technical skills can support trading strategies will set you apart from other candidates.
✨Practice Collaboration Scenarios
Since the role involves working closely with quants, traders, and risk teams, be ready to discuss how you’ve successfully collaborated in cross-functional teams. Highlight your communication skills and how you translate business needs into technical solutions.