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- Tasks: Join a high-performing team to build a new analytics library using Python and React.
- Company: A globally recognised macro hedge fund managing $11 billion in assets.
- Benefits: Enjoy a flat, collaborative environment with direct access to decision-makers.
- Why this job: Make a significant impact in a greenfield project while gaining exposure to quantitative finance.
- Qualifications: 5-10 years of Python experience in financial services and frontend development skills.
- Other info: Lead the transition from legacy systems to modern infrastructure.
The predicted salary is between 48000 - 84000 £ per year.
A mid-sized, globally recognised macro hedge fund managing $11 billion in AUM is seeking an experienced Full Stack Developer (Python and React) to join their Quantitative Analytics team in London. The firm combines macroeconomic research with quantitative strategies, trading across FX, credit, interest rates, and commodities.
This is a unique opportunity to join a lean, high-performing team and work directly with the Head of Risk and senior quants on a greenfield build of a new analytics library. You'll lead the transition from a legacy C++ system to a Python-based infrastructure, playing a central role in shaping its design and implementation.
Why apply?
- High-impact, entrepreneurial role with full ownership across the software development lifecycle
- Greenfield infrastructure and automation build opportunity
- Direct access to decision-makers in a flat, collaborative environment
- Broad exposure to quantitative finance, front-office analytics, and infrastructure
- Key contributor to improvements in release cycles, API management, and overall development processes
Requirements:
- 5-10 years of professional Python development experience in financial services
- Frontend development with React or another modern web framework
- Cloud experience (preferably Azure)
- CI/CD pipeline and automation (DevOps, Kubernetes)
- SQL knowledge and database skills
Please apply for more info.
Software Engineer - Quantitative Analytics Team I Greenfield employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Quantitative Analytics Team I Greenfield
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Python and React. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend industry meetups or webinars where you can connect with people who work at hedge funds or in similar roles. This could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss your experience with cloud technologies, particularly Azure, as well as your knowledge of CI/CD pipelines and automation. Be ready to provide examples of how you've implemented these in past projects.
✨Tip Number 4
Research the firm’s approach to macroeconomic research and quantitative strategies. Understanding their trading focus on FX, credit, interest rates, and commodities will help you align your discussions with their business objectives during interviews.
We think you need these skills to ace Software Engineer - Quantitative Analytics Team I Greenfield
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Software Engineer position. Understand the key responsibilities, required skills, and the unique aspects of working in a greenfield environment within a macro hedge fund.
Tailor Your CV: Customise your CV to highlight relevant experience in Python development, React, and any cloud technologies you've worked with. Emphasise your contributions to previous projects, especially those involving financial services or quantitative analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and software development. Mention specific experiences that align with the role's requirements, such as leading transitions from legacy systems or working in collaborative environments.
Highlight Technical Skills: In your application, make sure to clearly list your technical skills, particularly in Python, React, CI/CD, and SQL. Provide examples of how you've applied these skills in past roles, especially in high-impact projects.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and React in detail. Highlight specific projects where you've successfully implemented these technologies, especially in a financial context. This will demonstrate your capability to contribute to the greenfield build.
✨Understand the Business Context
Familiarise yourself with macroeconomic concepts and how they relate to quantitative strategies. Showing that you understand the business side of things will impress the interviewers and indicate that you're not just a coder but also a strategic thinker.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, particularly around transitioning from C++ to Python. Practice coding challenges and be ready to explain your thought process clearly, as this role requires a strong analytical mindset.
✨Demonstrate Collaboration Skills
Since you'll be working closely with senior quants and the Head of Risk, it's crucial to show that you can collaborate effectively. Share examples of past teamwork experiences and how you contributed to achieving common goals, especially in high-pressure environments.
