Execution Research Quant: Automated Betting & Market Making

Smartodds; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

30 days holiday

In-house chef

Cycle to work

Employee Assistance Programme

Job summary

Smartodds, based in North London, is seeking an Execution Research Quantitative Analyst to develop automated betting strategies using predictive models. You will deploy models from research to production within an engineering framework, collaborating across teams and contributing to client pricing tasks.

The role combines rigorous statistical modelling with production code, offering peer reviews, talks, and opportunities for further education. Prior market making experience is highly valued.

Qualifications

• MSc in Statistics or related field, or PhD, with statistics experience.
• Extensive experience in probabilistic and statistical modelling.
• Model diagnostics: evaluate predictive model performance and uncertainty.
• Strong programming in a high-level language (R or Python) and production-quality code.
• Demonstrated passion for working in sports betting.

Responsibilities

• Identify promising research directions and ensure high-standard research.
• Develop betting and market-making strategies for pre-match and in-play.
• Improve existing betting strategies and models across sports.
• Support clients by developing and maintaining mathematical libraries behind tools and models.
• Analyze datasets, test hypotheses, and communicate results clearly to stakeholders.
• Potentially mentor junior team members.

Skills

Programming in R/Python

Statistical modelling

Model diagnostics

Production-quality code

Sports betting passion

Communication

Education

MSc in Statistics or related field

PhD or equivalent in Statistics or related field

Related field with statistics experience

Tools

Python

R

C++

Git

SQL

MongoDB

Redis

Postgres

Job description

Smartodds, based in North London, is seeking an Execution Research Quantitative Analyst to develop automated betting strategies using predictive models. You will deploy models from research to production within an engineering framework, collaborating across teams and contributing to client pricing tasks.

The role combines rigorous statistical modelling with production code, offering peer reviews, talks, and opportunities for further education. Prior market making experience is highly valued.