Quantitative Researcher / Trader (Experienced)

Quantitative Researcher / Trader (Experienced)

Full-Time 80000 - 120000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a dynamic trading team and leverage your skills in quantitative research and trading.
  • Company: Leading trading firms and hedge funds seeking fresh talent.
  • Benefits: Competitive salary up to £150,000 plus bonuses and growth opportunities.
  • Other info: Exciting roles available with excellent career progression.
  • Why this job: Make an impact in the fast-paced world of trading with innovative strategies.
  • Qualifications: 3+ years of trading experience and strong Python skills required.

The predicted salary is between 80000 - 120000 £ per year.

Location: London, United Kingdom

Start-date: ASAP

Compensation: up to GBP150,000 gross per annum + variable

We have partnered with a range of Trading Firms and Hedge Funds of different sizes looking for new Trading talent. The opportunities with our partners include:

  • Setting up a new trading team/desk with an industry leading proprietary trading firm;
  • Joining an existing team/desk looking for an experienced trader with a fresh perspective.

Our Trader / Portfolio Manager mandates require the following skillsets:

  • A proven track‑record (at least 3 years) in your given asset class/focus market (experience with intra‑day trading in any market concentrated on either Equity/Index Options, ETFs, or Futures is most relevant for our partners);
  • A strong command of Python for research and automation purposes (C++ is advantageous);
  • Excellent problem solving skills.

This vacancy represents several positions with our partners. We will use an introductory call to understand which position(s) match your preferences and experience appropriately before preparing you adequately for your application and the interview process.

If you would like to apply or learn more about the role, please apply using the form below. Alternatively, feel free to send an email to recruitment@maisha-mazuri.com - we will get back to you within 5 working days!

Quantitative Researcher / Trader (Experienced) employer: Maisha Mazuri

As a leading player in the trading industry, our company offers an exceptional work environment in London, where innovation and collaboration thrive. We prioritise employee growth through tailored training programmes and mentorship opportunities, ensuring that our team members are equipped to excel in their roles. With competitive compensation packages and a dynamic culture that values fresh perspectives, we are committed to fostering a rewarding career for every Quantitative Researcher / Trader who joins us.

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Contact Details:

Maisha Mazuri Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher / Trader (Experienced)

Tip Number 1

Network like a pro! Reach out to your connections in the trading world and let them know you're on the lookout for new opportunities. A personal recommendation can go a long way in landing that dream role.

Tip Number 2

Prepare for those interviews! Brush up on your Python skills and be ready to discuss your trading strategies and past successes. We want you to showcase your problem-solving abilities and how you've tackled challenges in the market.

Tip Number 3

Don’t just apply anywhere; focus on firms that align with your experience and interests. Use our website to find roles that suit you best, and tailor your approach to each firm’s culture and values.

Tip Number 4

Follow up after your interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the position. Plus, it’s a great chance to reiterate why you’re the perfect fit for their team.

We think you need these skills to ace Quantitative Researcher / Trader (Experienced)

Proven Track Record in Trading
Intra-day Trading Experience
Equity/Index Options Knowledge
ETFs Expertise
Futures Trading Experience
Python Programming
Automation Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to highlight your experience in trading and your command of Python. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading and how your background makes you a perfect fit for the team. Keep it concise but impactful!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in your trading career. We love seeing candidates who can think on their feet and come up with innovative solutions!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Don’t miss out!

How to prepare for a job interview at Maisha Mazuri

Know Your Numbers

As a Quantitative Researcher or Trader, you need to be comfortable discussing your past performance metrics. Be ready to share specific examples of your trading strategies and their outcomes. This shows you not only understand the market but can also back up your claims with data.

Brush Up on Python

Since a strong command of Python is essential for this role, make sure you can discuss your experience with it confidently. Prepare to talk about any projects where you've used Python for research or automation, and be ready to solve a coding problem on the spot if asked.

Problem-Solving Scenarios

Expect to face some challenging problem-solving questions during the interview. Practice articulating your thought process clearly when tackling complex scenarios. This will demonstrate your analytical skills and how you approach trading decisions under pressure.

Research the Firm

Before the interview, take time to research the trading firm or hedge fund you're applying to. Understand their trading style, market focus, and recent news. This knowledge will help you tailor your answers and show that you're genuinely interested in the position.