At a Glance
- Tasks: Monitor betting markets, analyse football data, and optimise trading outcomes.
- Company: Join a rapidly growing team of mathematicians and data scientists at White Swan Data.
- Benefits: Competitive salary, performance bonuses, flexible hours, and health insurance.
- Other info: Enjoy free snacks, regular team events, and opportunities for career growth.
- Why this job: Combine your love for football with data analysis in a dynamic environment.
- Qualifications: Strong maths background and passion for football required; trading experience is a plus.
The predicted salary is between 30000 - 40000 £ per year.
White Swan Data is a small but rapidly growing team of mathematicians, data scientists and software engineers who are constantly striving to refine world class probability 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.
As a Football Trader, you will monitor and manage betting markets, analyse live football data, and make decisions to optimize trading outcomes. This role combines a strong mathematical aptitude with a deep understanding of football dynamics. Prior trading experience is not required but will be considered a plus. You will be expected to work over the weekend during football season and at least 2 evening shifts (finish past 10:30 pm). This role will reward individuals who are curious, hungry for learning and value attention to detail.
Key Responsibilities- Monitor football betting markets, track odds movements, and identify trading opportunities.
- Analyse live and historical football data to inform trading strategies.
- Adjust prices in response to market trends and real-time events (e.g., goals, injuries, substitutions).
- Collaborate with analysts to refine trading models and improve market predictions.
- Maintain focus and accuracy in high-pressure, fast-paced environments, particularly during live matches.
- Stay informed about football leagues, teams, players, and trends to gain a competitive edge.
- Essential:
- Strong mathematical background (degree in Mathematics, Statistics, Physics, Engineering, or a related field preferred).
- Comprehensive knowledge of football, including leagues, teams, and strategies.
- Strong analytical skills and attention to detail.
- Ability to make quick decisions under pressure.
- Proficiency in Microsoft Excel and/or basic data analysis tools.
- Desirable:
- Experience with statistical programming languages (e.g., Python, R).
- Knowledge of betting markets or prior experience in a trading environment.
- Understanding of predictive modeling and probability theory.
- Passion for football analytics and/or sports betting.
- 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.
- A collaborative work environment surrounded by football enthusiasts and data experts.
- 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.
Football Trader in London employer: Predict responsibly
At White Swan Data, we pride ourselves on being an exceptional employer that fosters a collaborative and dynamic work culture, perfect for those passionate about football and data analytics. Our team enjoys comprehensive training, flexible working hours, and numerous benefits including private health insurance and gym memberships, all while working in an environment filled with like-minded football enthusiasts. With ample opportunities for career growth and a focus on employee well-being, we are committed to nurturing talent and rewarding curiosity and attention to detail.
StudySmarter Expert Advice🤫
We think this is how you could land Football Trader in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Predict responsibly!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Predict responsibly.
✨Apply Directly through Our Website
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We think you need these skills to ace Football Trader in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Predict responsibly, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Predict responsibly. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Predict responsibly
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Predict responsibly!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
