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Machine Learning Quantitative Researcher

2 months ago

London, Greater London, United Kingdom Selby Jennings Full time

About Selby Jennings

Selby Jennings is a leading global recruitment agency specializing in financial services and technology. We are committed to delivering exceptional recruitment solutions to our clients and candidates.

Job Title: Machine Learning Quantitative Researcher

We are seeking a highly skilled Machine Learning Quantitative Researcher to join our team. As a Machine Learning Quantitative Researcher, you will be responsible for developing and implementing machine learning models to analyze and predict market trends.

Key Responsibilities:

  • Develop and implement machine learning models to analyze and predict market trends.
  • Conduct extensive research to identify new data sources and features for predictive modeling.
  • Collaborate with traders and other researchers to integrate models into trading strategies.
  • Optimize existing models and algorithms to improve performance and accuracy.
  • Stay updated with the latest advancements in machine learning and financial research.
  • Present research findings to team members and contribute to strategy development.

Requirements:

  • PhD in Machine Learning, Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning.
  • Proven experience in applying machine learning techniques to real-world problems, preferably in a financial context.
  • 0 - 4 years experience in industry.
  • Strong programming skills in Python, R, or similar languages.
  • Solid understanding of statistical methods and quantitative research methodologies.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Knowledge of financial markets and trading principles is a plus.

What We Offer:

  • Strong compensation and performance-based bonuses.
  • Comprehensive health insurance and retirement plans.
  • Professional development opportunities, including conferences and workshops.
  • Access to state-of-the-art technology and research resources.
  • Opportunity to work in a dynamic and intellectually stimulating environment.