Researchers in London

Researchers in London

London Full-Time 120000 - 200000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Research and develop systematic trading strategies across diverse macro markets.
  • Company: Global investment firm with a focus on innovative trading solutions.
  • Benefits: Competitive salary, performance bonuses, and opportunities for growth.
  • Other info: Work in dynamic locations like London, New York, or Singapore.
  • Why this job: Join a successful team and make an impact in the world of finance.
  • Qualifications: 3-7+ years in quantitative research and strong programming skills in Python.

The predicted salary is between 120000 - 200000 £ per year.

A global investment firm is looking to hire a Quantitative Alpha Researcher to join a systematic macro trading team. The group develops fully systematic strategies across liquid markets, with a focus on mid-horizon signals (intraday to multi-day holding periods).

This role will focus on researching and implementing scalable alpha across a diversified macro universe, including futures, FX, and other products such as interest rate swaps and credit indices. This is a key hire working with an established and successful Portfolio Manager.

Key Responsibilities
  • Research and develop systematic alpha signals with intraday to multi-day horizons
  • Design, test, and implement fully automated trading strategies
  • Work with large datasets to identify robust, scalable sources of alpha
  • Contribute to expanding coverage across macro instruments (e.g. futures, FX, IRS, credit indices)
  • Collaborate with trading and engineering teams to bring models into production
Requirements
  • ~3–7+ years of experience in quantitative alpha research
  • Strong track record researching short- to medium-term signals
  • Advanced degree (MSc or PhD preferred) in a quantitative discipline (e.g. Statistics, Mathematics, Physics, Engineering, Machine Learning)
  • Strong foundation in statistics and probability
  • Excellent programming skills in Python
  • Experience working with large and complex datasets
  • Detail-oriented, with a rigorous and methodical approach to research
  • Ideally non-compete of less than 12 months
Compensation
  • Competitive base salary in the range of $150,000–$250,000, depending on experience and location
  • Performance-related bonus
Location
  • ~ London, New York, or Singapore

Researchers in London employer: Grainstone Lee

As a leading global investment firm, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London office offers researchers the opportunity to work alongside industry experts in a fast-paced environment, with access to cutting-edge technology and resources. We are committed to employee growth, providing ample opportunities for professional development and a competitive compensation package that reflects our dedication to attracting top talent.
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Contact Detail:

Grainstone Lee Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Researchers in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your research projects and any automated trading strategies you've developed. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quantitative research questions and coding challenges to impress your interviewers.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Researchers in London

Quantitative Research
Systematic Trading Strategies
Alpha Signal Development
Data Analysis
Statistical Analysis
Probability Theory
Python Programming
Large Dataset Management
Attention to Detail
Methodical Research Approach
Collaboration with Engineering Teams
Experience in Financial Instruments (Futures, FX, IRS, Credit Indices)
Advanced Degree in Quantitative Discipline

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Alpha Researcher. Highlight your experience with systematic strategies and any relevant projects you've worked on that align with our focus on mid-horizon signals.

Showcase Your Skills: Don’t forget to showcase your programming skills, especially in Python! Include specific examples of how you've used these skills to work with large datasets or develop trading strategies.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background makes you a perfect fit for our team. Be sure to mention any experience with macro instruments like futures or FX.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Grainstone Lee

✨Know Your Numbers

As a Quantitative Alpha Researcher, you'll need to demonstrate your strong foundation in statistics and probability. Brush up on key concepts and be ready to discuss how you've applied them in past projects. Prepare to explain your thought process when analysing data and developing alpha signals.

✨Showcase Your Coding Skills

Since excellent programming skills in Python are a must, make sure you can talk about your coding experience confidently. Bring examples of past projects where you've designed, tested, or implemented automated trading strategies. If possible, prepare to solve a coding challenge during the interview.

✨Research the Firm's Strategies

Before the interview, take some time to understand the firm's systematic macro trading strategies. Familiarise yourself with their approach to futures, FX, and other products. This will not only show your interest but also help you align your answers with their goals and methodologies.

✨Prepare for Collaboration Questions

Collaboration is key in this role, so expect questions about working with trading and engineering teams. Think of examples from your past experiences where you successfully collaborated on projects. Highlight your communication skills and how you contributed to bringing models into production.

Researchers in London
Grainstone Lee
Location: London

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