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- Tasks: Analyse and improve sports betting strategies while collaborating with tech experts.
- Company: Join Longshot Systems, a leader in sports betting analytics.
- Benefits: Enjoy competitive bonuses, healthcare, gym membership, and a matched pension scheme.
- Other info: Flexible hybrid working model with excellent career growth opportunities.
- Why this job: Combine your passion for sports with data analysis to make a real impact.
- Qualifications: Strong knowledge of sports betting and proficiency in Python data analysis required.
The predicted salary is between 40000 - 50000 £ per year.
At Longshot Systems we build advanced platforms for sports betting analytics and trading. We're looking for a Sports Betting Trading Analyst to join our modelling team where you will be one of our sports & betting market experts. You would be joining a small team and working closely alongside software engineers and machine learning experts to provide domain expert insight in improving the trading strategies we develop for our clients.
Your role is to identify trading strategy improvements and value leaks in existing and new strategies through a combination of watching client trading activity from our internal tools, data analysis on historical trading and intuition from your sport and betting market knowledge. You should have a deep interest in sports and sports betting, especially from the professional sports bettor perspective. Ideally you have strong working knowledge of betting exchanges, prediction markets, sharp bookmakers (including the US and Asian markets) and general betting market dynamics. You're a general sports fanatic and enjoy following a wide variety of sports, especially thinking about them from a sports betting angle. You're comfortable with Jupyter notebooks and data analysis in Python. You're numerate and good with numbers, ideally with a degree of core statistical knowledge and understanding.
We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. This role especially benefits from working during sporting events, although ultimately it's up to you to decide what's the most valuable use of time and we have excellent tools to re-look at games in normal hours.
Interview Process
- Intro call (30 mins) - your background + interests
- 1st Technical interview (90 mins) - a deeper dive into your experience
- Full assessment day (10:00-6pm) - a one day on-site where you'll analyse some data we provide for you using Python to generate useful insights
Responsibilities
- Analyse our existing automated sports betting strategies and identify potential improvements in them
- Collaborate with software developers and machine learning experts to optimise and enhance trading algorithms
- Work with the team to develop brand new trading strategies on new markets and new sports
- Perform data analysis on historical trading to back up your qualitative analysis
- Conduct ongoing research on the sports betting markets
Requirements
Required:
- Strong knowledge of sports betting markets across a variety of different sports
- A strong intuition for spotting bad trading decisions and identifying ways to improve them
- Intermediate to advanced proficiency in data analysis in Python
- Excellent problem-solving skills and ability to work with large datasets
- Strong communication in a predominately remote environment, especially written communication
- Excellent teamwork skills, with the ability to collaborate effectively with software developers and machine learning experts
Desired:
- Previous experience in professional sports betting
- Advanced data science experience
- Experience with quantitative analysis and statistical modelling
- Familiarity with low latency and high throughput trading environments
- An interest in working with the engineers and researchers to implement your improvement ideas directly
Benefits
- Competitive bonus scheme
- 10% matched pension contributions
- Private healthcare insurance
- Long term illness insurance
- Gym membership
Sports Betting Trading Analyst employer: Longshot Systems
Contact Detail:
Longshot Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Betting Trading Analyst
✨Tip Number 1
Get to know the company inside out! Research Longshot Systems, their products, and their culture. This way, when you chat with them, you can show off your knowledge and passion for sports betting, making you stand out as a candidate.
✨Tip Number 2
Practice your Python skills! Since you'll be analysing data and generating insights, brush up on your data analysis techniques in Jupyter notebooks. Being able to demonstrate your proficiency will give you a leg up during the technical interview.
✨Tip Number 3
Network like a pro! Connect with current or former employees on LinkedIn to get insider tips about the interview process and company culture. Plus, it shows your genuine interest in the role and can help you make a great impression.
✨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, it shows that you're serious about joining the team at Longshot Systems.
We think you need these skills to ace Sports Betting Trading Analyst
Some tips for your application 🫡
Show Your Passion for Sports Betting: Let us see your enthusiasm for sports and betting in your application! Share your experiences, favourite sports, and how you approach betting. This will help us understand your perspective and fit within our team.
Highlight Your Data Skills: Since data analysis is key for this role, make sure to showcase your proficiency in Python and any relevant projects you've worked on. We want to know how you’ve used data to drive insights and improvements in the past.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific skills and experiences that match our job description. This shows us you’re genuinely interested in the role and have done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Longshot Systems
✨Know Your Sports Inside Out
Make sure you brush up on your sports knowledge, especially the ones relevant to the role. Be prepared to discuss recent games, player performances, and betting trends. This will show your passion and expertise in the field, which is crucial for a Sports Betting Trading Analyst.
✨Master Python and Data Analysis
Since you'll be using Python for data analysis, ensure you're comfortable with Jupyter notebooks and can demonstrate your skills during the interview. Practice analysing datasets and generating insights, as this will likely be a key part of your assessment day.
✨Understand Trading Strategies
Familiarise yourself with various trading strategies and how they apply to different sports markets. Be ready to discuss any improvements you've identified in past experiences or hypothetical scenarios. This will highlight your analytical thinking and problem-solving skills.
✨Communicate Clearly and Collaboratively
As you'll be working closely with software engineers and machine learning experts, practice articulating your thoughts clearly. Prepare to discuss how you would collaborate with others to enhance trading algorithms, showcasing your teamwork skills and ability to communicate effectively in a remote environment.