At a Glance
- Tasks: Manage trading systems, monitor live markets, and optimise trading strategies.
- Company: Join a dynamic startup at the forefront of iGaming and data science.
- Benefits: Competitive salary, performance bonuses, and opportunities for career progression.
- Other info: Flexible shifts with a focus on US sporting events; great growth potential.
- Why this job: Be part of an innovative team making real impact in the betting market.
- Qualifications: Experience in sports trading or strong analytical skills; passion for data-driven decisions.
The predicted salary is between 30000 - 40000 £ per year.
About White Swan Data
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.
About the Role
Markets never sleep and at White Swan Data we analyse markets 24/7, 365 days a year. As we continue to expand our execution capability across exchange platforms and prediction markets, we are hiring for multiple roles within our trading team, spanning both entry-level and experienced profiles. We are looking for high-energy, curious individuals with an interest in betting markets and data-driven decision making. Prior trading or betting market experience is a strong advantage, particularly for more senior positions. However, we also welcome applications from high-potential candidates at an earlier stage in their career who demonstrate strong analytical thinking, commercial awareness and a proactive mindset.
These roles sit within our in-house trading team. Successful applicants will contribute to live market execution, performance monitoring and process development. Availability for day, evening and weekend shifts is required, with a particular focus on the US sporting schedule. We are an ambitious company, meaning there is considerable opportunity for you to make a niche for yourself and to progress within the business.
Key Responsibilities
- Manage and operate the trading systems to maximise volume of trades while consistently hitting target performance metrics.
- Monitor live markets and trading activity, identifying patterns, inefficiencies and emerging opportunities to support strategy development and optimisation.
- Provide practical, real-time feedback to developers and quants to improve trading models, execution logic and system performance.
- Work closely with the operational support team to streamline and optimise the end-to-end trading pipeline.
- Troubleshoot and resolve practical problems quickly to minimise trading downtime and risk.
Skills, Knowledge and Expertise
- 1+ year of experience as a sports trader.
- BSc in Mathematics or a related quantitative discipline (e.g. Physics, Economics, Engineering) is advantageous but not essential.
- Strong analytical mindset with the ability to interpret data, identify patterns and draw practical conclusions.
- Strong work ethic with a genuine desire to succeed in a results-oriented environment.
- Ability to execute instructions precisely while clearly communicating technical issues or observations.
- Comfortable balancing multiple tasks simultaneously, managing time effectively under pressure.
- Willingness to work unsociable hours, including weekends, early mornings and late nights, aligned with global sporting schedules.
- A good understanding of betting markets, exchanges or prediction markets is highly beneficial.
- Proactive mindset with a natural curiosity to question, refine and improve processes.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
Sports Trader in London employer: Predict responsibly
At White Swan Data, we pride ourselves on being an excellent employer by fostering a dynamic and entrepreneurial work culture that encourages innovation and collaboration. Our small yet rapidly growing team offers significant opportunities for personal and professional growth, allowing you to make a meaningful impact in the iGaming industry while working alongside talented mathematicians and data scientists. With a focus on autonomy and creativity, we provide a supportive environment where your unique skills can thrive, making it an exciting place to advance your career as a Sports Trader.
StudySmarter Expert Advice🤫
We think this is how you could land Sports Trader in London
✨Embrace Online Competitions
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We think you need these skills to ace Sports Trader in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Predict responsibly, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Predict responsibly aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Predict responsibly
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
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As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
