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- Tasks: Develop and optimise Python software for data research and trading.
- Company: Join a leading boutique hedge fund managing £9bn in assets.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and collaboration.
- Why this job: Perfect for tech-savvy individuals passionate about finance and quantitative analysis.
- Qualifications: MSc in Computer Science and strong Python experience required.
- Other info: Work closely with quantitative researchers to create cutting-edge tools.
The predicted salary is between 48000 - 72000 £ per year.
Step into a fast-paced environment in a leading boutique hedge fund with £9bn under management: you will work side-by-side with quantitative researchers to build powerful, data-driven tools for research and trading. This is a hands-on role where you’ll design, deploy, and refine high-performance software, supporting cross-team initiatives to deliver cutting-edge solutions across all asset classes. This role is ideal for a developer passionate about finance, technology, and quantitative analysis.
Responsibilities:
- Develop and optimize Python-based software to drive data research and trading.
- Collaborate with quants to create tools that support advanced research and trading.
- Utilise modern software practices like version control and agile development.
- Work closely with quants to innovate across all trading teams.
Qualifications:
- MSc in Computer Science or similar.
- Very strong Python experience on Linux.
- Deep experience in financial services eg investment banks, funds.
- Long-standing background in quantitative software development.
Performance Developer employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Developer
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and trading technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those who work as quantitative researchers or developers. Attend relevant meetups or webinars to build connections that could lead to referrals.
✨Tip Number 3
Showcase your Python skills through personal projects or contributions to open-source software. Having a portfolio of relevant work can significantly boost your chances of standing out to our hiring team.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures, particularly in Python. This will help you demonstrate your problem-solving abilities effectively.
We think you need these skills to ace Performance Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant work in financial services. Emphasise your quantitative software development skills and any projects that showcase your ability to collaborate with researchers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for finance and technology. Mention specific examples of how you've used Python in previous roles and how you can contribute to the hedge fund's goals.
Showcase Relevant Projects: If you have worked on any projects related to data-driven tools or trading systems, include them in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Soft Skills: Since collaboration is key in this role, mention your teamwork and communication skills. Provide examples of how you've successfully worked with others to achieve common goals, especially in fast-paced environments.
How to prepare for a job interview at Stanford Black Limited
✨Showcase Your Python Skills
Since the role heavily relies on Python, be prepared to discuss your experience in detail. Bring examples of projects where you've optimised Python-based software, and if possible, demonstrate your coding skills during the interview.
✨Understand Financial Concepts
Brush up on key financial concepts and terminology relevant to hedge funds and quantitative analysis. Being able to speak the language of finance will show that you are not just a developer but also understand the business context of your work.
✨Emphasise Collaboration
This role involves working closely with quantitative researchers. Be ready to discuss your experience in collaborative environments, particularly how you've worked with non-technical teams to deliver solutions. Highlight any agile development experiences as well.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of software development practices. Review common algorithms, data structures, and performance optimisation techniques, as these may come up during the interview.
