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- Tasks: Develop alpha generation models and collaborate with a Portfolio Manager on exciting strategies.
- Company: Join DRW, a leading firm in quantitative research and trading.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with a focus on innovation and collaboration.
- Why this job: Make an impact in the world of finance with cutting-edge quantitative techniques.
- Qualifications: 2-8 years in quant equities, strong Python skills, and an advanced degree in a quantitative field.
The predicted salary is between 60000 - 80000 £ per year.
DRW is looking for a Quantitative Researcher in Greater London to work on alpha generation and model development for mid-frequency equity statistical arbitrage strategies. This role involves collaborating with a Portfolio Manager, developing data processing pipelines, and implementing research infrastructure.
Candidates should have:
- 2–8 years of experience in quant equities
- Strong Python skills
- An advanced degree in a quantitative discipline
Quantitative Researcher - Alpha Signals & Trade Analytics in London employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Alpha Signals & Trade Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quant finance space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any models you've developed. This is your chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative concepts and be ready to discuss your past experiences in detail. We want to see how you think and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Researcher - Alpha Signals & Trade Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any advanced degrees you hold!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about alpha generation and model development. We love seeing candidates who can articulate their interest in mid-frequency equity strategies and how they can contribute to our team.
Showcase Your Collaboration Skills: Since this role involves working closely with a Portfolio Manager, highlight any past experiences where you collaborated effectively. We’re looking for team players who can communicate well and contribute to a positive working environment.
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at P2P
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in areas related to equity statistical arbitrage. Be ready to discuss your previous experience in model development and alpha generation, as this will show that you understand the core responsibilities of the role.
✨Show Off Your Python Skills
Since strong Python skills are a must-have for this position, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain a piece of code, so practice writing clean, efficient code and be ready to discuss your thought process.
✨Collaborate Like a Pro
This role involves working closely with a Portfolio Manager, so highlight any past experiences where you've successfully collaborated with others. Be prepared to discuss how you approach teamwork and communication, as these soft skills are just as important as your technical expertise.
✨Prepare Questions About the Role
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful questions about the company's approach to alpha generation and the tools they use for data processing. This shows your genuine interest in the role and helps you assess if it's the right fit for you.