Quant Researcher, Equities Stat Arb – London

Quant Researcher, Equities Stat Arb – London

Full-Time 80000 - 100000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Research and validate alpha signals, build feature sets, and backtest strategies.
  • Company: Join J K Barnes, a leading firm in equities stat arb.
  • Benefits: Visa sponsorship available and opportunity for direct impact on PnL.
  • Other info: On-site role with a collaborative and accountable work environment.
  • Why this job: Take ownership in a small team and make a real difference.
  • Qualifications: 5-15 years in systematic equity research and strong Python skills.

The predicted salary is between 80000 - 100000 € per year.

J K Barnes is hiring a Quant Researcher for their equities stat arb team in London. The role involves researching and validating alpha signals, building feature sets, and backtesting strategies.

Ideal candidates will have:

  • 5-15 years of experience in systematic equity research
  • Strong Python skills
  • An ability to contribute in a small, accountable team

This is an on-site role with visa sponsorship available. If you're looking for ownership and direct impact on PnL, apply now.

Quant Researcher, Equities Stat Arb – London employer: J K Barnes

At J K Barnes, we pride ourselves on fostering a dynamic and collaborative work environment where innovation thrives. As a Quant Researcher in our London office, you will enjoy the benefits of working in a small, accountable team that values your contributions and offers significant opportunities for professional growth. With competitive compensation, visa sponsorship, and the chance to make a direct impact on PnL, we are committed to supporting your career aspirations in the fast-paced world of equities stat arb.

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Contact Detail:

J K Barnes Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Quant Researcher, Equities Stat Arb – London

✨Tip Number 1

Network like a pro! Reach out to current or former employees at J K Barnes on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your past projects or research that highlights your Python prowess and systematic equity research experience. This will help you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Brush up on your technical interview skills by doing mock interviews with friends or using online platforms. Focus on explaining your thought process clearly, especially when discussing alpha signals and backtesting strategies.

✨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 take the initiative to connect directly with us.

We think you need these skills to ace Quant Researcher, Equities Stat Arb – London

Quantitative Research
Alpha Signal Validation
Feature Set Building
Backtesting Strategies
Systematic Equity Research
Python Programming
Team Collaboration

Some tips for your application 🫑

Show Off Your Skills:Make sure to highlight your Python skills and any relevant experience in systematic equity research. We want to see how you can contribute to our team, so don’t hold back on showcasing your expertise!

Tailor Your Application:Take a moment to customise your CV and cover letter for the Quant Researcher role. Mention specific projects or experiences that align with researching alpha signals and building feature sets. This helps us see why you're a great fit!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. This way, we can easily understand your qualifications and what you bring to the table.

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 the role. Plus, it makes the process smoother for everyone involved!

How to prepare for a job interview at J K Barnes

✨Know Your Numbers

As a Quant Researcher, you'll need to demonstrate your analytical skills. Brush up on key metrics and be ready to discuss how you've used data to drive decisions in your previous roles. Prepare examples of alpha signals you've researched or validated.

✨Show Off Your Python Skills

Since strong Python skills are a must, make sure you can talk about your experience with it confidently. Be prepared to discuss specific libraries you've used for backtesting strategies or building feature sets. If possible, bring along a small project or code snippet to showcase your abilities.

✨Team Player Mindset

This role is all about contributing to a small, accountable team. Think of examples where you've collaborated effectively with others, especially in high-pressure situations. Highlight your ability to take ownership of projects and how that has positively impacted the team's performance.

✨Understand the Business Impact

Since this position involves direct impact on PnL, be ready to discuss how your research and strategies can influence profitability. Familiarise yourself with J K Barnes' approach to equities stat arb and think about how you can align your work with their goals.