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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, private healthcare, and gym membership.
- 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.
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 come and join our modelling team where you will be one of our sports & betting market experts. You'd be joining a small team and working closely alongside software engineers and machine learning experts to provide the 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 our client's 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
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 in London employer: Longshot Systems Ltd
Contact Detail:
Longshot Systems Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Betting Trading Analyst in London
✨Tip Number 1
Get to know the company inside out! Research Longshot Systems, their products, and their culture. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your data analysis experience. Practising with Jupyter notebooks will help you feel more confident when tackling real-world problems.
✨Tip Number 4
Don’t forget to showcase your passion for sports betting! Share your insights and experiences during interviews. Your enthusiasm can set you apart from other candidates and show that you’re the right fit for the role.
We think you need these skills to ace Sports Betting Trading Analyst in London
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 any insights you've gained from your betting adventures. We love to see candidates who are genuinely excited about the industry!
Highlight Your Analytical Skills: Since you'll be diving into data analysis, make sure to showcase your proficiency in Python and any relevant tools you’ve used. Talk about specific projects or analyses you've conducted that demonstrate your ability to spot trends and improve strategies.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the skills and experiences that align with our job description. Mention how your background fits with our team and the role of a Sports Betting Trading Analyst.
Apply Through Our Website: We encourage you to apply directly 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 at Longshot Systems!
How to prepare for a job interview at Longshot Systems Ltd
✨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 stats, 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. Practice analysing datasets and generating insights beforehand, as this will likely come up during the technical interview and 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 strategies or how you would approach new ones. This shows that you can think critically and contribute to the team's goals.
✨Communicate Clearly and Collaboratively
Since the role involves working closely with software engineers and machine learning experts, practice articulating your thoughts clearly. Prepare examples of how you've successfully collaborated in the past, especially in remote settings, to highlight your teamwork skills.