Quantitative Analyst, Sports Betting - Bayesian ML & Risk

Venture Up; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A dynamic sports analytics firm in London is seeking a skilled Quantitative Analyst to deliver innovative solutions to the sports betting industry. You will leverage advanced statistical models and machine learning to interpret complex sports data, providing insightful analytics. Ideal candidates possess a mathematics-based degree, extensive experience in the sports betting realm, and expertise in Bayesian statistics, SQL, and Python. This role requires autonomy in modeling efforts within a fast-paced startup environment.

Qualifications

• 4 years’ experience as a quantitative analyst or data scientist within sports betting industry.
• Expertise in Bayesian statistics, MCMC, and GLMs.
• Knowledge of sports models literature.

Responsibilities

• Working autonomously on the modelling efforts.
• Analysing, cleaning, and processing raw data.
• Developing, improving, and maintaining ML and statistical models for risk management.

Skills

Bayesian statistics

MCMC

GLMs

SQL

Python/R

Education

Mathematics-based degree from a top university

Job description

A dynamic sports analytics firm in London is seeking a skilled Quantitative Analyst to deliver innovative solutions to the sports betting industry. You will leverage advanced statistical models and machine learning to interpret complex sports data, providing insightful analytics. Ideal candidates possess a mathematics-based degree, extensive experience in the sports betting realm, and expertise in Bayesian statistics, SQL, and Python. This role requires autonomy in modeling efforts within a fast-paced startup environment.