At a Glance
- Tasks: Join a leading hedge fund to build and manage datasets for trading strategies.
- Company: Paragon Alpha partners with a $50b systematic hedge fund focused on technology.
- Benefits: Collaborative environment with exposure to research, trading, and engineering.
- Other info: Great opportunity for career growth in a dynamic financial setting.
- Why this job: Make an impact in a tech-driven role within the finance industry.
- Qualifications: Experience with Python, Pandas, and NumPy is essential.
The predicted salary is between 60000 - 80000 € per year.
Paragon Alpha are partnered with a $50b systematic hedge fund who specialise in systematic/algo trading, now evolving into a strong multi-strategy fund with a large focus on their technology/data infrastructure.
The role offers strong exposure across research, trading, and engineering, with a focus on building and onboarding datasets that directly drive systematic strategies and trading decisions.
It’s a great opportunity to join a leading quant hedge fund in a highly collaborative, technology-driven environment working with large-scale financial and alternative datasets.
Stack: Python, Pandas, NumPy
Please apply if interested in learning more.
Data Scientist - Systematic Hedge Fund in London employer: Paragon Alpha - Hedge Fund Talent Business
Paragon Alpha is an exceptional employer, offering a dynamic and collaborative work culture that thrives on innovation and technology. Employees benefit from extensive growth opportunities within a leading quant hedge fund, where they can engage with cutting-edge data infrastructure and contribute to impactful trading strategies. Located in a vibrant financial hub, the company fosters a supportive environment that encourages continuous learning and professional development.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Systematic Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at hedge funds or in data science roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, Pandas, and NumPy. This is your chance to demonstrate how you can build and onboard datasets that drive trading decisions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges that focus on financial datasets to impress your interviewers with your problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - Systematic Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Pandas, and NumPy. We want to see how your skills align 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! Tell us why you’re excited about the opportunity at Paragon Alpha and how your background in systematic trading can contribute to our tech-driven environment.
Showcase Your Data Skills:Since this role involves working with large-scale datasets, include examples of how you've handled data in previous roles. We love seeing practical applications of your skills, so share any relevant experiences!
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 at a leading quant hedge fund!
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Know Your Tech Stack
Make sure you're well-versed in Python, Pandas, and NumPy. Brush up on your coding skills and be ready to demonstrate your knowledge through practical examples or coding challenges during the interview.
✨Understand Systematic Trading
Familiarise yourself with the principles of systematic and algorithmic trading. Be prepared to discuss how data influences trading decisions and how you can contribute to building datasets that drive these strategies.
✨Showcase Collaboration Skills
This role is all about teamwork in a tech-driven environment. Be ready to share examples of past collaborative projects, highlighting how you worked with others to achieve common goals, especially in research or engineering contexts.
✨Prepare Questions About the Role
Think of insightful questions to ask about the company's approach to technology and data infrastructure. This shows your genuine interest in the position and helps you understand how you can fit into their evolving multi-strategy fund.
