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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 significant impact in quantitative finance.
- Qualifications: 3+ years in Quant Development, strong Python skills, and a numerate degree.
- Other info: Opportunity for career growth in a dynamic, innovative setting.
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 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 London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative finance. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial concepts. Practice common quantitative problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Python Quantitative Developer - Hedge Fund - Systematic Futures in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Python Quantitative Developer. Highlight your experience with Python, SQL, and any relevant financial markets knowledge. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how your background makes you a perfect fit for our team. Let us know what excites you about working in a collaborative environment.
Showcase Your Projects: If you've worked on any relevant projects, especially in backtesting or risk calculations, make sure to mention them. We love seeing practical examples of your work that demonstrate your technical skills and problem-solving abilities.
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 this exciting opportunity. Plus, it shows us you’re keen to join our team!
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. The more you can demonstrate your hands-on experience, the better!
✨Understand the Business
Familiarise yourself with the hedge fund's investment strategies and how quantitative development plays a role in them. Being able to speak knowledgeably about systematic investing and futures will show that you're not just a tech whiz but also understand the bigger picture.
✨Prepare for Technical Questions
Expect to face technical questions or even coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process clearly. This is your chance to shine, so don’t hold back!
✨Showcase Collaboration Skills
Since this role involves working closely with Quantitative Researchers and Portfolio Managers, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver complex projects, highlighting your communication skills.
