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- Tasks: Join our Quant Team to develop and evaluate sports models and pricing strategies.
- Company: Be part of a forward-thinking company revolutionising the Sportsbook Platform.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for personal growth.
- Why this job: Contribute to exciting projects in sports modelling while collaborating with a passionate team.
- Qualifications: Experience in sports betting, programming skills in Python and SQL, and a problem-solving mindset.
- Other info: Ideal for those with a STEM background and a keen interest in sports.
The predicted salary is between 36000 - 60000 £ per year.
The Quant Team is focused on developing quantitative sport models, taking models from prototype to production. The team is an important component of the vision for the future evolution of our Sportsbook Platform (KSP). The Quant Team is split into two workstreams: Quant Research and Quant Engineering. We are looking to recruit a talented Quantitative Analyst to join the Research side to contribute to our sports modelling efforts. Your work will help deliver functionality, tools and models to support our broader objectives.
What you will do:
- Hands-on contributor to sports modelling research and related product-driven workstreams.
- Research, develop and evaluate probabilistic pricing models across multiple sports.
- Contribute to product development, delivering independently once requirements are clearly set with relevant stakeholders.
- Carry out exploratory data analysis as part of modelling work, reporting back on findings and determining next steps.
- Contribute to model evaluation and backtesting to ensure pricing is of the highest possible quality.
- Work closely with the Quant Model Development team as part of efforts to productionise POC models and functionality.
- Work closely with the Quant Data Engineering team as part of efforts to build out data assets to support modelling work.
- Write code that follows best practices and facilitates collaboration and re-usability by other team members.
- Promote work and contributions for use within the team and the wider business, through conversations, reports, blog posts, showcases and presentations.
- Support junior members of the Quant Research team.
Expected Attributes:
- Experience in a similar role in the sport betting industry.
- Knowledge of machine learning algorithms and/or statistics.
- Demonstrable experience applying statistical modelling techniques to sporting events.
- Intermediate programming skills in Python and SQL.
- Excellent skills manipulating, exploring and analysing data, including with libraries such as pandas, Numpy and Scipy.
- Experience interacting with databases.
- A problem-solving growth mindset with the ability to pick up new tools and concepts quickly.
- Able to interact in a constructive manner with colleagues in the team and with broader stakeholders.
- Proactive learner including desire to grow technical skillset and develop personally.
- Confident seeking advice and coaching from experienced team members.
- Well-organised and able to prioritise effectively.
- Able to communicate decisions and recommendations based on analysis.
- Ability to deal with uncertainty and flexibility to learn by iteration.
Desirable Attributes:
- Masters/PhD in STEM subject.
- Understanding of functional and object-oriented programming paradigms.
- Experience with Bayesian models, Markov chains and multivariate time-series modelling.
- Experience with widely used probabilistic programming and machine learning libraries such as Stan, PyMC3, Scikit-Learn, Keras, Tensorflow or PyTorch.
- Exposure to cloud computing, ideally AWS.
- An interest in sports betting.
Quantitative Analyst employer: Kindred Group plc
Contact Detail:
Kindred Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in sports modelling and quantitative analysis. Follow industry leaders on social media, read relevant blogs, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in the sports betting industry. Attend conferences, webinars, or local meetups where you can connect with Quantitative Analysts and other related roles. Building these relationships can lead to valuable insights and potential referrals for job openings.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects or creating your own projects related to sports analytics. This practical experience can set you apart from other candidates and provide concrete examples of your abilities during discussions with our team.
✨Tip Number 4
Prepare to discuss specific statistical models and machine learning techniques you've used in past projects. Be ready to explain your thought process and the outcomes of your analyses. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for the role.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in the sports betting industry, particularly any roles that involved statistical modelling or machine learning. Use specific examples to demonstrate your skills in Python, SQL, and data analysis.
Craft a Strong Cover Letter: In your cover letter, express your passion for sports and quantitative analysis. Discuss how your background aligns with the responsibilities of the role, particularly your experience with probabilistic pricing models and exploratory data analysis.
Showcase Technical Skills: Clearly outline your programming skills, especially in Python and SQL, and mention any libraries you are proficient in, such as pandas, Numpy, or Scipy. If you have experience with Bayesian models or cloud computing, be sure to include that as well.
Demonstrate Problem-Solving Ability: Provide examples in your application that showcase your problem-solving mindset. Highlight situations where you had to learn new tools quickly or adapt to changing requirements, as this is crucial for the role.
How to prepare for a job interview at Kindred Group plc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any relevant libraries like pandas and Numpy. You might be asked to solve a coding problem or explain your approach to data analysis, so brush up on your technical knowledge and be ready to demonstrate your skills.
✨Understand the Sports Betting Landscape
Familiarise yourself with the current trends and challenges in the sports betting industry. Being able to discuss how your quantitative skills can contribute to the development of models in this context will show your genuine interest and understanding of the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities and how you handle uncertainty. Think of examples from your past experiences where you successfully navigated complex issues or adapted to changing requirements, as this will highlight your growth mindset.
✨Communicate Clearly and Effectively
Since the role involves collaboration with various teams, practice articulating your thoughts clearly. Be ready to explain your analysis and recommendations in a way that is accessible to both technical and non-technical stakeholders, showcasing your ability to bridge communication gaps.
