Data Science Quant Researcher

Anson McCade; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A quantitative hedge fund in London is seeking a Quantitative Researcher specialized in Machine Learning, Deep Learning, or NLP. In this role, you will analyze datasets to identify trading opportunities and collaborate with teams to develop strategies. A strong academic background in relevant numerical fields and proficiency in Python are essential. Competitive compensation and opportunities for global collaboration are offered.

Qualifications

• Strong academic background in numerical fields.
• Knowledge of finance from studies, internships, or experience.
• Expertise in Python and relevant data science tools.

Responsibilities

• Research and apply Machine Learning techniques to analyze datasets.
• Collaborate with teams to develop and implement trading strategies.
• Monitor performance of strategies over time.

Skills

Machine Learning

Data Science

Coding proficiency in Python

Education

PhD in Computer Science, Mathematics, or Quantitative Finance

Tools

Data Science libraries

Job description

My client is a quantitative hedge fund with offices globally, focusing on systematic trading. Their Quant Researchers develop and monitor strategies covering all liquid markets, including HFT/arbitrage, statistical arbitrage, CTA, Macro and event-driven models. The firm has a mandate for Quantitative Researchers who are specialised in Machine Learning, Deep Learning, Reinforcement Learning, NLP, or Computer Vision. Successful applicants will apply these techniques to analyse datasets and identify trading opportunities, and develop them into monetizable strategies in collaboration with other researchers, developers, and traders.

The Role:

• Researching and applying Machine Learning and other Data Science techniques to analyse datasets and identify alphas.
• You will work closely with other researchers, developers and traders on the development and implementation of these strategies, and monitor their performance over time.
• Quantitative Researchers collaborate with each other globally. You will share ideas and work on tools for others to use across the firm, expanding the business and building your own skills.

Requirements:

• An academic background with degrees covering numerical fields of study, such as Computer Science, Mathematics, and Quantitative Finance, PhD level degrees are preferred but not required.
• Experience/knowledge of finance from academic studies, internships or professional experience.
• Coding proficiency in at least on language, successful candidates are typically expert users of Python, and proficient with data science libraries.