Analyze trading and market data to generate actionable insights, build reporting and visualization tools, test trading ideas, and support quantitative model development. Responsibilities include dataset creation, backtesting, statistical analysis, performance validation, and collaboration with traders and quants in a fast-paced in-person trading environment.
As a Junior Data Analyst, you will turn complex trading and market data into actionable insights that directly influence how and where we trade. You will build reporting and visualisation tools that the team relies on to steer our strategies, uncover opportunities hidden in large datasets, and help us make smarter, faster, data-driven decisions in a fast-paced quantitative trading environment.
Working closely with traders and quants, you will have responsibility from day one: testing ideas, challenging assumptions and bringing fresh perspectives to the table. You will also collaborate with the quant team to develop and refine our models, from building datasets and running back tests to validating performance in live trading. This is an opportunity to have a tangible impact on trading performance, combining rigorous analysis with practical problem-solving to help drive the business forward.
Working closely with traders and quants, you will have responsibility from day one: testing ideas, challenging assumptions and bringing fresh perspectives to the table. You will also collaborate with the quant team to develop and refine our models, from building datasets and running back tests to validating performance in live trading. This is an opportunity to have a tangible impact on trading performance, combining rigorous analysis with practical problem-solving to help drive the business forward.
Key Responsibilities
- Turn data into decisions: your analysis will directly shape how and where we trade
- Build the reporting tools management relies on to steer the business
- Work through large volumes of trading and market data to find the edges others miss
- Be the traders' go-to analyst: test their ideas quickly, challenge assumptions and bring your own insights
- Work with the quant team to sharpen our models, from building datasets and back tests to proving what works once it's live
Skills, Knowledge and Expertise
Must have:
- Degree in computer science, maths, statistics or another quantitative field
- Strong SQL
- Proficient in Python
- Experience working with large datasets
- Familiar with statistical analysis and modelling
- Familiar with AI tools (Claude preferred)
Nice to have:
- Personal or professional experience in betting or trading
- Knowledge of major sports
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 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 every day 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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