Quantitative Analyst

JR United Kingdom; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A global investment management firm is looking for an expert to join their elite trading team in London. You will leverage advanced statistical techniques and machine learning to build predictive models for sports trading across various major sports. Strong coding skills in Python and SQL, alongside a background in mathematics or statistics, are essential for this dynamic role. Collaborative work within a fast-paced team is expected.

Qualifications

• Strong coding skills in Python and SQL are essential.
• Experience in developing mathematical models to predict outcomes is required.
• Background in mathematics or statistics is crucial.

Responsibilities

• Utilise advanced statistical techniques and machine learning for predictive models.
• Analyse sports data to uncover insights for trading strategies.
• Collaborate in a fast-paced, science-driven team environment.

Skills

Python

SQL

Statistical techniques

Mathematical modeling

Machine learning

Education

MSc or PhD in relevant field

Job description

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Join a world-class global investment management firm that specialises in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies.

In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events.

Responsibilities:

• Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies
• Develop predictive models for sports outcomes using advanced mathematical and statistical techniques.
• Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies.
• Implement and optimise numerical methods to support robust, scalable model performance in live environments.
• Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment.
• Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets.

Requirements:

• MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Strong background in mathematics, statistics, or a related quantitative field
• Experience in developing mathematical models to predict real-world outcomes
• Proficiency in numerical implementation and computational methods

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page