Covent Garden, London, UK (office based 3-4 days a week)
About Us:
At False9 Technologies, we’re driven by a deep passion for sports, trading, data science, and cutting-edge technology. Our journey began over 15 years ago, when our founders forged a successful collaboration that laid the foundation for what we do today.
We develop innovative tools and provide expert services to help our clients make data-driven, probabilistic assessments and forecasts - primarily in sports. Our work empowers decision-makers with sharper insights.
As we grow, we’re looking for bright, creative, and curious minds to join our team—individuals eager to challenge the status quo, push technological boundaries, and thrive in a collaborative environment.
This opening provides the successful candidate with the opportunity to join a growing team, working directly with our founders in our awesome office based in Covent Garden, London.
Responsibilities:
Design and implement predictive models that enable profitable trading decisions.
Develop and maintain tools to assist clients in gaining insights from noisy data and understand the sports betting markets.
Monitor performance of current models and adapt models to evolving market dynamics.
Requirements:
Bachelor's degree in Mathematics, Statistics, Computer Science, Physics or a related field.
Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.
An understanding or experience with statistical methods and basic machine learning concepts.
Some previous programming experience.
Intellectual curiosity and a desire to learn new skills.
What We Offer:
Professional Growth: Opportunities for career development and advancement within the company.
Supportive Environment: Collaborative and inclusive team culture with mentorship
Private Health Insurance and Life Insurance
Matched Pension Contributions up to 3%
25 days annual leave (increasing by 1 day on each anniversary of service)
Paid leave on bank holidays
Cycle to work scheme
Subsidised gym membership
Discretionary Bonus
How to Apply: Interested candidates should submit their resume and a cover letter outlining their qualifications and interest in the position to .
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