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- Tasks: Design and implement a cutting-edge Python/SQL platform for investment teams.
- Company: Award-winning systematic hedge fund with a collaborative culture.
- Benefits: Competitive salary, office-based teamwork, and a supportive work environment.
- Why this job: Join a pioneering firm and make a real impact in quantitative finance.
- Qualifications: 3+ years in Quant Development, strong Python skills, and financial market experience.
- Other info: Opportunity for career growth in a dynamic, innovative team.
The predicted salary is between 72000 - 108000 £ per year.
Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams.
Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week.
This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams.
Essential Skills & Experience:
- Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures.
- Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies.
- Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker.
- PhD/MSc level education in a numerate discipline from a top institution.
- MATLAB experience highly desirable.
This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.
Senior Python Quantitative Developer - Hedge Fund - Systematic Futures in City of London employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Quantitative Developer - Hedge Fund - Systematic Futures in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative finance. This is your chance to demonstrate your expertise in backtesting systems and risk calculations. We recommend sharing this on platforms like GitHub to catch the eye of potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and quantitative finance knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects. We suggest using mock interviews to get comfortable with the format and types of questions you might face.
✨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’re always looking for talented individuals who can contribute to our collaborative culture. So, go ahead and take that leap!
We think you need these skills to ace Senior Python Quantitative Developer - Hedge Fund - Systematic Futures in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your Python skills and experience in financial markets. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your experience makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Since this role is quite technical, make sure to highlight your hands-on experience with tools like SQL, Linux, and Docker. We’re looking for someone who can hit the ground running, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Winston Fox
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Linux skills. Be ready to discuss specific projects where you've used these technologies, especially in a financial context. They’ll want to see how you’ve tackled complex problems and delivered scalable solutions.
✨Understand the Business
Familiarise yourself with the hedge fund's investment strategies and the role of quantitative analysis in systematic trading. Being able to speak knowledgeably about how your technical skills can directly impact their investment processes will set you apart.
✨Showcase Collaboration Skills
Since this role involves working closely with Quantitative Researchers and Portfolio Managers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where communication and teamwork led to successful project outcomes.
✨Prepare for Technical Challenges
Expect to face some technical questions or coding challenges during the interview. Practise common algorithms and data structures, and be ready to explain your thought process clearly. This will demonstrate not just your coding ability but also your problem-solving approach.
