At a Glance
- Tasks: Analyse sports betting data to enhance trading strategies and identify value opportunities.
- Company: Join Longshot Systems, a forward-thinking team in the heart of London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- 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 and Jupyter notebooks.
The predicted salary is between 63000 - 77000 £ per year.
Longshot Systems is hiring a Sports Betting Trading Analyst to join our modelling team in London.
You will provide domain expert insight to improve trading strategies and identify value leaks across existing and new markets.
Collaboration with engineers and ML experts will help translate ideas into actionable trading improvements.
You’ll be comfortable with Python and Jupyter notebooks, enjoy working with data, and bring strong sports betting knowledge.
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Hybrid Sports Betting Trading Analyst - Data-Driven in London employer: Longshot Systems
Longshot Systems is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about technology and sports betting analytics. With a strong emphasis on employee growth, you will have the opportunity to develop your skills in a collaborative environment while enjoying the flexibility of a hybrid work model, including engaging in-person collaboration in our vibrant London office. Join us to be part of a forward-thinking team that values performance, creativity, and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Sports Betting Trading Analyst - Data-Driven in London
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We think you need these skills to ace Hybrid Sports Betting Trading Analyst - Data-Driven 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Longshot Systems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Longshot Systems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Longshot Systems
✨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 Longshot Systems!
✨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.
