Junior Quant Analyst – Stats

Overview

In this role you will support the quant research team by building and refining sports prediction models and high-frequency trading strategies. You’ll work with large data sets and open-source tools to run experiments at scale, contributing to live trading tests and strategy performance analysis. The environment blends rigorous research with a tech-driven, collaborative culture. This is an opportunity to grow technically while shaping analytics that underpin trading decisions.

Pay / Benefits

• flex working
• Options from day 1
• excellent salary and benefits package
• structured career path
• ongoing training
• West London

Responsibilities

• Building and improving sports prediction models
• Implementing and backtesting new statistical arbitrage strategies
• Developing and improving clients’ high frequency strategies
• Supporting the trading desk with analysis of strategy performance or A/B testing data

Key requirements

• Comp Ski, Maths, Stats or Engineering degree
• Demonstrable Python experience
• Strong Stats Background
• Outstanding background in probability and statistics
• Experience and interest in modern machine learning techniques (deep learning, Bayesian methods, graphical models)
• Programming experience with Python, Julia or R

• Collaborative and teaching-oriented environment
• Strong analytical communication
• Fast learner in a high-paced, data-driven setting
• Python
• Julia
• R

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