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- Tasks: Manage client risk and ensure accurate depth chart adjustments in a fast-paced environment.
- Company: Join Swish Analytics, a cutting-edge sports analytics startup.
- Benefits: Enjoy remote work flexibility, competitive pay, and a dynamic team culture.
- Why this job: Be part of a revolutionary team shaping the future of predictive sports analytics.
- Qualifications: Passion for sports analytics and strong decision-making skills required.
- Other info: Work remotely from Malta, Spain, or the UK with excellent growth opportunities.
The predicted salary is between 28800 - 48000 £ 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 deliver odds origination and risk management.
We are 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 the 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.
Trading Analyst in England employer: Swish Analytics
Contact Detail:
Swish Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Analyst in England
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics and betting space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects or any relevant work. We love seeing real examples of what you can do, especially when it comes to predictive data and risk management.
✨Tip Number 3
Prepare for interviews by diving deep into Swish Analytics’ products and values. We want to see your passion for sports analytics shine through, so be ready to discuss how you can contribute to our mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for team-oriented individuals who are ready to tackle challenges head-on.
We think you need these skills to ace Trading Analyst in England
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for sports analytics shine through. We want to see that you’re genuinely excited about the role and the impact you can make at Swish Analytics.
Tailor Your CV: Make sure your CV is tailored to the Trading Analyst position. Highlight relevant experience and skills that align with our focus on predictive data and risk management. We love seeing how your background fits with our mission!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language and get straight to the point. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Swish Analytics
✨Know Your Numbers
As a Trading Analyst, you'll need to demonstrate your understanding of odds and risk management. Brush up on key mathematical concepts and be ready to discuss how you would apply them in real-world scenarios. Show that you can think critically about data and make +EV decisions.
✨Show Your Passion for Sports Analytics
Swish Analytics is all about predictive sports analytics, so let your enthusiasm shine through! Share examples of how you've engaged with sports data in the past, whether through personal projects or professional experiences. This will help convey your genuine interest in the field.
✨Prepare for Fast-Paced Scenarios
Given the dynamic nature of the role, be prepared to answer situational questions that test your ability to make quick decisions under pressure. Think of examples from your past where you had to adapt quickly and how you managed those situations effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and its products. Inquire about their approach to developing predictive models or how they handle client risk. This not only shows your engagement but also helps you assess if the company is the right fit for you.