At a Glance
- Tasks: Join a dynamic team to enhance backtesting frameworks and develop innovative signal evaluation modules.
- Company: Leading systematic hedge fund focused on quantitative research.
- Benefits: Competitive daily rate, flexible working arrangements, and opportunity for impactful contributions.
- Other info: Exciting 6-month contract with potential for career advancement.
- Why this job: Make a real difference in quant research while working with cutting-edge technologies.
- Qualifications: 4+ years Python experience in systematic trading or quantitative research required.
A research facing Python contract where you'll be embedded directly with quant researchers improving the speed, flexibility and reliability of a core backtesting framework.
The deliverables:
- A new signal evaluation and attribution module
- Improved data access tooling
- Parallel backtesting with Dask or Ray
- Clean handoff code the perm team can maintain
What they need:
- 4+ years Python in systematic trading or quantitative research
- Deep Pandas, NumPy, Polars - Dask or Ray for parallel compute
- Direct experience building or substantially improving a backtesting framework
- Understanding of systematic strategy development lifecycle, signal research through to live deployment
- KDB+/q read access beneficial
6 months. Apply via our site REF: C014 or DM directly.
Python Quant Developer | Backtesting & Signal Research in London employer: Platinum & Partners
As a Python Quant Developer at our Systematic Hedge Fund, you'll be part of a dynamic and innovative team dedicated to enhancing quantitative research. We offer competitive daily rates, a collaborative work culture that fosters creativity and growth, and the opportunity to work directly with leading quant researchers on impactful projects. Our commitment to employee development and cutting-edge technology ensures that you will thrive in an environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Python Quant Developer | Backtesting & Signal Research in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the quant trading space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Python Quant Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving backtesting frameworks or signal research. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Stay updated with the latest trends in systematic trading and quantitative research. Follow relevant blogs, podcasts, or forums. This knowledge can help you stand out during interviews and show your passion for the field.
✨Tip Number 4
Don't forget to apply through our website! Use REF: C014 when you do. It’s the best way to ensure your application gets noticed by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Python Quant Developer | Backtesting & Signal Research in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python in systematic trading and quantitative research. We want to see how your skills with Pandas, NumPy, and Dask or Ray can shine through!
Showcase Relevant Projects:Include specific examples of projects where you've built or improved backtesting frameworks. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and directly related to the role. No fluff, just the good stuff!
Apply Through Our Website:Don’t forget to apply via our site using REF: C014! It’s the best way for us to track your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Platinum & Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of systematic trading and quantitative research. Be ready to discuss your experience with libraries like Pandas, NumPy, and Dask or Ray, as these will be crucial for the role.
✨Showcase Your Backtesting Experience
Prepare to talk about specific projects where you've built or improved a backtesting framework. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Understand the Systematic Strategy Lifecycle
Familiarise yourself with the entire lifecycle of systematic strategy development, from signal research to live deployment. Being able to articulate this process will show that you have a comprehensive understanding of the field and can contribute effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's current projects and future goals. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career aspirations.
