At a Glance
- Tasks: Manage trading systems, monitor live markets, and optimise strategies for maximum performance.
- Company: Join a dynamic startup at the forefront of iGaming and data technology.
- Benefits: Competitive salary, performance bonuses, health insurance, gym membership, and generous holiday allowance.
- Other info: Flexible shifts with opportunities for career growth in a collaborative environment.
- Why this job: Be part of an innovative team making real impact in the fast-paced world of sports trading.
- Qualifications: Experience in sports trading and strong analytical skills are preferred; passion is key!
The predicted salary is between 63000 - 77000 £ 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 - i Gaming, quantitative research and software development.
This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the i Gaming 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
At White Swan Data, we give individuals responsibility from an early stage.
Although training will be provided, we look for people who are hungry and independent, eager to improve in an agile and at times intense working environment.
- 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.
- Opportunities for career growth in a dynamic and exciting industry.
- A collaborative work environment surrounded by sports enthusiasts and data experts.
- 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.
- #J-18808-Ljbffr
Around-the-Clock Sports Trader (Data-Driven) employer: White Swan Data
White Swan Data is an excellent employer for those looking to thrive in the dynamic world of betting operations. With a competitive salary, performance bonuses, and a collaborative work culture, employees are encouraged to grow and develop their skills in a supportive environment. Located in London, the company offers unique opportunities to engage with a diverse team while honing your analytical abilities in a fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land Around-the-Clock Sports Trader (Data-Driven)
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We think you need these skills to ace Around-the-Clock Sports Trader (Data-Driven)
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!
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How to prepare for a job interview at White Swan Data
✨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!
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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
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✨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.
