Quantitative Researcher Apply now

Quantitative Researcher

London Entry level 36000 - 60000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Join a dynamic team to develop automated trading strategies and analyze market inefficiencies.
  • Company: A leading quantitative hedge fund with over a decade of successful trading experience.
  • Benefits: Work in a cutting-edge environment with global offices and opportunities for growth.
  • Why this job: Be part of an interdisciplinary team at the forefront of trading, modeling, and technology.
  • Qualifications: Strong quantitative background in Mathematics, Statistics, Financial Engineering, or related fields required.
  • Other info: Ideal for recent graduates or those with internship experience in Quant Finance.

The predicted salary is between 36000 - 60000 £ per year.

Our client is leading a quantitative hedge fund which engages in systematic, process-driven proprietary trading. The firm builds automated trading strategies aimed at capturing market inefficiencies across various markets and asset classes from a few milliseconds to longer term both pure arbitrage or statistical in nature. The team has an extensive history of successfully running quantitative trading strategies for more than a decade and spun out as a hedge fund. They operate at the intersection of trading, quantitative modelling, and technology and roles are therefore highly interdisciplinary. They trade on state-of-the-art infrastructure to handle their large trading volumes with offices globally. They are currently looking for Junior Quantitative Researchers to help expand their team in London. The ideal candidate has a strong quantitative background (degrees in Mathematics, Statistics, Financial Engineering, Computer Science and Physics) from a top university and some experience in a Quant Finance environment, whether through internships or a full time role.

Quantitative Researcher employer: Anson McCade

Our client is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong emphasis on employee growth, they provide extensive training and mentorship opportunities, fostering a culture of collaboration and interdisciplinary learning. The firm’s commitment to cutting-edge technology and systematic trading strategies not only enhances professional development but also positions employees at the forefront of the quantitative finance industry.
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Contact Detail:

Anson McCade Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Researcher

✨Tip Number 1

Make sure to showcase your quantitative skills during the interview. Be prepared to discuss specific projects or coursework that highlight your expertise in Mathematics, Statistics, or Computer Science.

✨Tip Number 2

Familiarize yourself with the latest trends in quantitative finance and automated trading strategies. Being able to discuss current market inefficiencies and how they can be exploited will set you apart from other candidates.

✨Tip Number 3

Network with professionals in the quantitative finance space. Attend industry conferences or meetups to connect with people who work at hedge funds or in quantitative research roles.

✨Tip Number 4

Demonstrate your programming skills, especially in languages commonly used in quantitative research like Python or R. Be ready to solve coding challenges or discuss algorithms during the interview process.

We think you need these skills to ace Quantitative Researcher

Strong Quantitative Skills
Statistical Analysis
Mathematical Modelling
Programming Skills (Python, R, C++)
Data Analysis and Interpretation
Machine Learning Techniques
Financial Engineering Knowledge
Algorithm Development
Understanding of Market Microstructure
Experience with Trading Systems
Problem-Solving Skills
Attention to Detail
Ability to Work in a Team
Communication Skills

Some tips for your application 🫡

Highlight Your Quantitative Skills: Make sure to emphasize your strong quantitative background in your CV and cover letter. Mention specific degrees, relevant coursework, and any projects that showcase your skills in Mathematics, Statistics, Financial Engineering, Computer Science, or Physics.

Showcase Relevant Experience: If you have experience in a Quant Finance environment, whether through internships or full-time roles, be sure to detail this in your application. Describe the projects you worked on, the tools you used, and the impact of your contributions.

Demonstrate Interdisciplinary Knowledge: Since the role operates at the intersection of trading, quantitative modeling, and technology, highlight any interdisciplinary knowledge or experience you have. This could include programming languages, statistical software, or trading platforms you are familiar with.

Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description and align your experiences with the responsibilities and qualifications mentioned. This shows that you understand the position and are genuinely interested.

How to prepare for a job interview at Anson McCade

✨Showcase Your Quantitative Skills

Be prepared to discuss your quantitative background in detail. Highlight any relevant coursework, projects, or internships that demonstrate your proficiency in mathematics, statistics, or programming. This is your chance to impress them with your technical knowledge!

✨Understand the Firm's Trading Strategies

Research the firm's trading strategies and be ready to discuss how they capture market inefficiencies. Familiarize yourself with concepts like arbitrage and statistical modeling, as this will show your genuine interest in their work and your ability to contribute.

✨Prepare for Technical Questions

Expect technical questions related to quantitative finance, algorithms, and data analysis. Brush up on your coding skills and be ready to solve problems on the spot. Practicing with common quantitative interview questions can give you a significant edge.

✨Demonstrate Interdisciplinary Knowledge

Since the role is highly interdisciplinary, be prepared to discuss how your background in fields like computer science or physics complements your quantitative skills. Show them that you can bridge the gap between trading, modeling, and technology effectively.

Quantitative Researcher
Anson McCade Apply now
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  • Quantitative Researcher

    London
    Entry level
    36000 - 60000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-07

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    Anson McCade

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