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Quantitative Researcher (Medium Frequency Alpha)

Tyler Capital
London
6 months ago
Applications closed

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Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Quantitative Researcher with Machine Learning experience, Systematic Equities

Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Tyler Capital is a proprietary trader of global financial markets.  We use a combination of machine learning and algorithmic trading strategies to trade futures on the CME, Eurex, ICE and TMX. We are a small team with an open, collaborative culture where everyone contributes to the core strategies and technology.


Role Overview

We’re looking for an outstandingQuantitative Researcher with a focus on mid frequency alphato join our team. This is a team-based role where you’ll collaborate with the very best traders and software developers, working on the latest low latency technologies in global markets. You will play a crucial part in managing and developing our trading strategies, with an emphasis on systematic trading and technology-driven solutions.

Unfortunately we’re unable to accept applicants currently living outside the UK or who require sponsorship.


Key Responsibilities

  • Work with other quantitative researchers, traders and developers to design, develop and deploy highly innovative quantitative trading strategies.
  • Apply your industry-leading data analysis skills to construct mid-frequency predictive models and portfolio optimisation techniques to construct multi-asset portfolios.
  • Analyse production performance, devising metrics to understand behaviour and to feedback into research cycle.

Essential Skills & Qualifications

  • Experience developing systematic futures trading models at a technology-drivenPropriety Trading Firm, (at this stage we are not looking for candidates from large Macro Funds or Investment Banks). 
  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related field.
  • Proven ability to conduct innovative and impactful research focused on solving real-world problems.
  • Demonstrate ability to make judgements on research direction; being able to balance potential impact of research with likelihood of success is critical.
  • Strong quantitative and analytical skills with meticulous attention to detail.
  • Proficiency in coding (Java or Python preferred)
  • Excellent communication skills for problem-solving and explaining technical concepts.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple projects.

Personal Attributes

  • High energy, motivation, and a proactive approach to challenges.
  • Entrepreneurial spirit and a commitment to excellence.
  • Ability to form strong working relationships within the team.
  • Being comfortable challenging the status quo
  • Dedication to continuous learning and professional development.
  • Innate curiosity and a passion for digging into data and modelling complex systems.

Benefits

  • Competitive package available for the right candidate. 


If you’re passionate about quantitative trading, technology, and have a relentless curiosity to dig deeper and understand complex systems, we want to hear from you. Join us at Tyler Capital, where your ideas are valued, and your growth is supported.



National AI Awards 2025

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