At a Glance
- Tasks: Research and apply Machine Learning techniques to identify trading opportunities and develop strategies.
- Company: Global quantitative hedge fund with a focus on systematic trading.
- Benefits: Competitive salary, discretionary bonuses, and opportunities for professional growth.
- Other info: Collaborative global environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact in the finance world using cutting-edge technology.
- Qualifications: Degree in Computer Science, Mathematics, or Quantitative Finance; coding skills in Python preferred.
The predicted salary is between 150000 - 200000 £ per year.
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 one language, successful candidates are typically expert users of Python, and proficient with data science libraries.
Machine Learning Quant Researcher employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
