Develop, backtest, operationalise and trade American Football quantitative strategies (pre-match and in-play). Set and adjust pricing, monitor models live, manage risk, collaborate with quants and engineers, and support data acquisition and cleaning.
We're expanding a successful sports quant strategy. We're looking for quantitative analysts and traders who have the skills to identify value signals, develop strategies to exploit those signals, back test them, operationalise those strategies, and manage risk live in real time. The ideal candidates will be able to deliver all stages of the strategy realisation pipeline, but we will consider candidates who are able to demonstrate expertise in some parts of it.
Candidates must have a keen interest in sports and demonstrate significant domain knowledge, with sport context and knowledge of betting markets.
Candidates must have a keen interest in sports and demonstrate significant domain knowledge, with sport context and knowledge of betting markets.
Key Responsibilities
- Trade sporting markets live, pre-match and in-play, taking ownership of pricing, positioning, and risk management in real time.
- Set and adjust prices in response to market moves, news, and in-game events, balancing competitiveness against edge.
- Turn value signals into executable trading strategies, and refine them based on live performance and market feedback.
- Back test and validate strategies before deployment, then operationalise them into automated or semi-automated trading workflows.
- Monitor markets and model outputs live, spotting mispricing, adverse selection, and opportunities as they emerge.
- Work closely with quants and engineers to translate trading intuition into models, tooling, and process improvements.
- Contribute to the acquisition, cleaning, and interpretation of data where it supports pricing and trading decisions.
Skills, Knowledge and Expertise
- Strong trading instinct and comfort making pricing and risk decisions under time pressure and uncertainty.
- Knowledge of sports rules, player dynamics, and team strategies, plus a solid grasp of how its betting markets behave.
- Sound quantitative and statistical foundation, enough to interrogate models, understand their assumptions, and know when to trust or override them.
- Strong attention to detail and the ability to retain and act on information quickly.
- Strong communication and collaboration skills.
- Positive 'can do' attitude and the ability to meet deadlines.
- Willingness to learn and adapt to new environments.
Nice to have skills:
- Experience trading or market-making in betting, gaming, or financial markets (in-play or live trading a strong plus).
- Proficiency in an analytical programming language (Python, R or similar).
- Proficiency in production ready engineering (Architecture, low latency systems, Java or C++)
- BSc in mathematics, statistics, computer science, engineering, or another quantitative discipline.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- Comprehensive training in trading strategies, market dynamics, and tools.
- Opportunities for career growth in a dynamic and exciting industry.
- Flexible working hours, particularly during the football calendar.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in everyday and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.
About
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem-solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision-making, and ultimately strengthens our ability to tackle complex challenges.
White Swan Data London, England Office
London, United Kingdom
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