Quantitative Analyst

Venture Up; Greater London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading provider of sports betting brokerage software in London is seeking a Graduate/Junior Quantitative Analyst. Join a dynamic team to develop proprietary models and algorithms while working with large datasets. Ideal for candidates with a strong mathematics background and an interest in sports.

Benefits

Flexible Working Hours

Opportunities for Career Progression

Qualifications

• 1st class mathematics-based degree or 2:1 from Oxbridge.
• Solid understanding of statistical prediction and probability theory.

Responsibilities

• Building and improving sports prediction models.
• Researching advances in Bayesian updating.
• Designing and building your own models.

Skills

Statistical Prediction

Probability Theory

Intellectual Curiosity

Creativity

Interest in Sports

Education

1st Class Mathematics-Based Degree

Postgraduate Qualifications in Statistics

Tools

Jupyter

PyTorch

Spark

Job description

Graduate/Junior Quantitative Analyst – Sports betting - London

*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*

Job Summary

Graduate/Junior Quantitative Analyst is required for one of the leading providers of sports betting brokerage software in the world. The company is based in London and offers flexible working hours. The successful candidate will be joining the team who is responsible for developing and managing a range of proprietary models and algorithms that run at the heart of the bet-placement platform. You will be part of a small team, working in a relaxed environment, and using a range of modern open-source tools like Jupyter, PyTorch and Spark. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company to test their hypotheses in a live environment.

As Graduate Quantitative Analyst you will need:

• A 1st class mathematics-based degree from a top university or a 2:1 from Oxbridge
• A solid understanding of the fundamentals of statistical prediction and probability theory including, for example, an in-depth knowledge of regression and model fitting
• Intellectual curiosity, creativity and confidence to try new approaches
• An interest in sports or competitive games
• Postgraduate qualifications in statistics are preferred.

Responsibilities and Duties

• Your day-to-day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models
• To research recent advances in Bayesian updating to better extract signals from noisy data
• To design and build your own models using your own ideas
• To work closely with expert traders and developers to improve your models

The Opportunity

• Opportunities to progress your quantitative developer career
• Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system
• Working with some of the brightest Quants within the industry.