At a Glance
- Tasks: Manage client risk and analyse betting trends in a fast-paced environment.
- Company: Join Swish Analytics, a cutting-edge sports analytics startup.
- Benefits: 100% remote work, flexible schedules, and a dynamic team culture.
- Other info: Opportunity to work with cross-functional teams and grow your analytical skills.
- Why this job: Be at the forefront of predictive sports analytics and make impactful decisions.
- Qualifications: 3+ years in online sportsbooks and a passion for major sports leagues.
The predicted salary is between 51750 - 63250 £ per year.
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
This position is 100% Remote from Spain, Malta, UK.
Duties:
- Manage client risk, ensuring the highest margins on Swish products through +EV decisions.
- Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings.
- Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets.
- Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions.
Requirements:
- Minimum of 3 years of in-game play experience at an online sportsbook.
- Deep understanding of sports betting and odds origination.
- Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football.
- Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly.
- Results driven work ethic – focused on improving process, results and profitability.
- Availability to work flexible schedules, including nights, weekends and/or holidays.
Preferred:
- Bachelor’s Degree in a STEM discipline.
- An understanding of relational database systems (MySQL).
- Experience working with cross functional teams (Data Science teams a plus).
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
Trading Analyst - Europe in London employer: Swish Analytics
Swish Analytics is an exceptional employer for those passionate about sports analytics and customer success. With a fully remote work environment, employees enjoy the flexibility of working from anywhere within the CET time zone while being part of a dynamic team that values creativity and technical excellence. The company fosters a collaborative culture, offering ample opportunities for professional growth and development, making it an ideal place for individuals eager to make a meaningful impact in the sports betting industry.
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We think this is how you could land Trading Analyst - Europe in London
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We think you need these skills to ace Trading Analyst - Europe 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!
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How to prepare for a job interview at Swish Analytics
✨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
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 Swish Analytics!
✨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.
