Quantitative Analyst

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.
• Knowledge of sports models literature
• Proficient in SQL and Python/R
• Demonstrated experience building and delivering ML and statistical models

Responsibilities

• Working autonomously on the modelling efforts.
• 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

Skills

Bayesian statistics

MCMC

GLMs

SQL

Python/R

Education

Mathematics-based degree from a top university

Tools

Python

R

SQL

Job description

Quantitative Analyst – Sports betting – London

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

Job Summary

Quantitative Analyst 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.

As Quantitative Analyst you will need:

• 4 years’ experience as a quantitative analyst or data scientist 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
• Demonstrated experience building and delivering ML and statistical models

Responsibilities and Duties

• You will be working autonomously on the modelling efforts as you wouldn't be involved in working with the existing models.
• 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