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Machine Learning Quantitative Researcher
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Alexander Chapman
Machine Learning Quantitative Researcher

Machine Learning Quantitative Researcher

Full-Time 42000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design predictive models and implement algorithms to enhance trading strategies.
  • Company: Join a top-tier systematic trading firm at the forefront of quantitative research.
  • Benefits: Enjoy a full-time role with opportunities for remote work and professional growth.
  • Why this job: Make a significant impact in the trading world while collaborating with industry experts.
  • Qualifications: 4+ years in quantitative or ML roles; strong background in relevant technical disciplines required.
  • Other info: Autonomy to lead independent research initiatives as your career progresses.

The predicted salary is between 42000 - 84000 ÂŁ per year.

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Recruitment Consultant at Alexander Chapman

A top-tier systematic trading firm is seeking exceptional Quantitative Researchers to advance and optimize proprietary trading strategies. You’ll collaborate with experienced researchers, engineers, and senior leadership, working on high-impact projects that shape the future of quantitative trading. As your career progresses, you\’ll have the autonomy to lead independent research initiatives.

What You\’ll Do:

  • Design and improve predictive models using financial and alternative data
  • Apply advanced ML and statistical methods to drive alpha generation
  • Build and implement production-ready algorithms to capitalize on predictive insights

What They\’re Looking For:

  • 4+ years of experience in a quantitative or ML-focused role
  • Strong academic background in Physics, Mathematics, Computer Science, ML, or a related technical discipline (BS, MS, PhD, or Postdoc)
  • Demonstrated strength in problem-solving, modeling, and research methodology
  • Proficient in Python, C++, Java, or R
  • Experience in a trading environment a plus

Ready to leverage your quantitative skills and make an impact in the trading world? Apply now!

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Finance

  • Industries

    Financial Services, Capital Markets, and Investment Banking

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Machine Learning Quantitative Researcher employer: Alexander Chapman

As a top-tier systematic trading firm located in the heart of London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, you will have the opportunity to lead independent research initiatives while working alongside experienced researchers and engineers on high-impact projects. Our commitment to leveraging cutting-edge technology and advanced machine learning techniques ensures that you will be at the forefront of the evolving landscape of quantitative trading.
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Contact Detail:

Alexander Chapman Recruiting Team

View Alexander Chapman Profile

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Quantitative Researcher

✨Tip Number 1

Network with professionals in the quantitative research and trading fields. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potential employers. This can help you gain insights into the latest trends and possibly lead to referrals.

✨Tip Number 2

Showcase your projects and research on platforms like GitHub or personal blogs. Highlight any predictive models or algorithms you've developed, especially those relevant to finance or trading. This not only demonstrates your skills but also your passion for the field.

✨Tip Number 3

Stay updated on the latest advancements in machine learning and quantitative finance. Follow influential researchers and firms on social media, read relevant publications, and participate in online forums. This knowledge can give you an edge during interviews.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges and algorithm problems, particularly in Python, C++, Java, or R. Familiarise yourself with common quantitative finance concepts and be ready to discuss how you've applied them in your previous roles.

We think you need these skills to ace Machine Learning Quantitative Researcher

Machine Learning
Statistical Analysis
Predictive Modelling
Algorithm Development
Python Programming
C++ Programming
Java Programming
R Programming
Quantitative Research
Data Analysis
Problem-Solving Skills
Research Methodology
Financial Data Analysis
Collaboration Skills
Experience in Trading Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in quantitative research and machine learning. Emphasise your academic background in relevant fields like Physics, Mathematics, or Computer Science, and showcase any specific projects or roles that demonstrate your problem-solving skills.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, particularly in designing predictive models and applying advanced ML methods. Mention any relevant experience in trading environments if applicable.

Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, C++, Java, or R. Provide examples of how you've used these skills in past projects, especially those related to algorithm development or data analysis.

Highlight Independent Research: If you have led independent research initiatives, make sure to highlight these experiences. Discuss the impact of your research on previous projects and how it could translate to success in the new role at the trading firm.

How to prepare for a job interview at Alexander Chapman

✨Showcase Your Technical Skills

Be prepared to discuss your proficiency in programming languages like Python, C++, Java, or R. Bring examples of past projects where you applied these skills, especially in a quantitative or machine learning context.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your problem-solving and modelling skills. Prepare to walk through your thought process on how you approach complex problems, particularly in financial data analysis.

✨Highlight Relevant Experience

With 4+ years of experience required, be ready to discuss your previous roles in quantitative research or machine learning. Focus on specific achievements and how they relate to the responsibilities of the position.

✨Prepare for Technical Questions

Anticipate technical questions related to machine learning algorithms and statistical methods. Brush up on key concepts and be ready to explain how you've applied them in real-world scenarios.

Machine Learning Quantitative Researcher
Alexander Chapman
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