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 with flexible schedules and a dynamic team culture.
- Other info: Exciting opportunities for growth in a rapidly evolving industry.
- Why this job: Be at the forefront of predictive sports analytics and make impactful decisions.
- Qualifications: 3 years of experience in online sportsbooks and strong analytical skills.
The predicted salary is between 40000 - 50000 £ 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 Malta, Spain, or 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
- 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 tennis and soccer
- 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
- 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 employer: Swish Analytics
Swish Analytics is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about sports analytics and betting. With the flexibility of 100% remote work from Malta, Spain, or the UK, employees enjoy a supportive environment that encourages professional growth and collaboration across diverse teams. The company prioritises technical excellence and offers unique opportunities to engage in cutting-edge projects, making it an ideal place for individuals seeking meaningful and rewarding careers in a fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Analyst
✨Tip Number 1
Make sure you research Swish Analytics thoroughly before your interview. Knowing their products and how they operate will show that you're genuinely interested and ready to contribute to the team.
✨Tip Number 2
Practice your analytical skills! Since this role requires a strong understanding of sports betting and data analysis, try to brush up on your maths and statistical knowledge to impress during discussions.
✨Tip Number 3
Network with current or former employees if you can. They can provide insider tips about the company culture and what it takes to succeed as a Trading Analyst at Swish Analytics.
✨Tip Number 4
Don't forget to apply through our website! Completing the application process there ensures that your application is seen by the right people and gives you the best chance of landing that interview.
We think you need these skills to ace Trading Analyst
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into the application, take a moment to really understand what we're looking for. Make sure you know the key responsibilities and requirements so you can tailor your application to show us you're the perfect fit!
Show Your Passion:We love candidates who are genuinely excited about sports analytics and betting. In your application, let us see your enthusiasm! Share any relevant experiences or projects that highlight your passion for the industry.
Be Specific with Your Skills:When listing your skills and experiences, be as specific as possible. Instead of just saying you have analytical skills, give us examples of how you've used them in real situations. This helps us see how you can contribute to our team!
Apply Through Our Website:Once you're ready, make sure to apply through our website. It’s the best way to ensure your application gets to us directly. Plus, it makes the whole process smoother for both you and us!
How to prepare for a job interview at Swish Analytics
✨Know Your Numbers
As a Trading Analyst, you'll need to demonstrate your strong mathematical and analytical skills. Brush up on your ability to calculate odds quickly and accurately. Be prepared to discuss specific examples of how you've used data to make informed betting decisions in the past.
✨Show Your Passion for Sports
Swish Analytics is looking for candidates with a genuine passion for sports, especially tennis and soccer. Make sure to share your insights about recent matches or trends in these sports during the interview. This will show that you’re not just knowledgeable but also truly invested in the field.
✨Research the Company
Before the interview, take some time to understand Swish Analytics and its products. Familiarise yourself with their approach to predictive analytics and how they differentiate themselves in the market. This knowledge will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your decision-making skills under pressure. Think about how you would handle time-sensitive adjustments in betting markets or manage client risk. Practising these scenarios can help you articulate your thought process clearly during the interview.
