Quantitative Researcher

Venture Up; England; On-site; GBP 45,000 - 61,000; Full time

Job summary

A sports betting hedge fund in London is seeking a Quantitative Researcher to deliver innovative solutions. The successful candidate will build models and analyze data using Bayesian statistics, MCMC, and GLMs. Ideal applicants will have at least 2 years of experience in the sports betting industry and strong skills in SQL and Python. Opportunities for career progression are available.

Qualifications

• 2 years’ experience as a quantitative researcher in the sports betting industry.
• Expertise in Bayesian statistics, MCMC, and GLMs.
• Knowledge of sports models literature.

Responsibilities

• Analysing, cleaning, and processing raw data.
• Developing, improving, and maintaining ML and statistical models for risk management.
• Analyse data to understand betting markets and customer behaviour.

Skills

Bayesian statistics

MCMC

GLMs

SQL

Python

Statistical modeling

Education

Mathematics-based degree from a top university

Tools

R

Job description

Quantitative Researcher – Sports betting Hedge Fund – London

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

Job Summary

Quantitative Researcher is required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used for prop trading.

As Quantitative Analyst you will need:

• 2 years’ experience as a quantitative researcher building models within sports betting industry.
• A mathematics-based degree from a top university
• Expertise in Bayesian statistics, MCMC, and GLMs
• Knowledge of sports models literature
• Proficient in SQL and Python/R
• Experience on the slots casino side is benefitcial

Responsibilities and Duties

• Analysing, cleaning, and processing raw data
• Developing, improving, and maintaining ML and statistical models for risk management
• Analyse data and perform inferences to understand betting markets and customers behaviour

The Opportunity

• Opportunities to progress your quantitative developer career
• Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system