Quantitative Analyst - Research and Development

Quantitative Analyst - Sport Modelling #LI-HYBRID #LI-ML1 

The role 

The Quant Team is a fast-growing team within the wider Data Science and Analytics functions focused on developing and productionising quantitative sport models. The team is an important component of the vision for the future evolution of the Kindred Sportsbook Platform (KSP). 

The Quant Team is split into two workstreams: Research and Development and Quant Engineering. Due to an internal promotion, we are now looking to recruit a talented Quantitative Analyst to join the Research and Development side to contribute to our sports modelling efforts. Your work will help to deliver functionality, tools and models to support our broader objectives.


What you will do:

We expect that performing this role you will: 

  • Research, develop and assess probabilistic pricing models for sporting events across two or more sports. 
  • Research and develop strategies and tools to assist commercial, operational and trading functions in offering odds to customers. 
  • Analyse and prepare data and assist with data quality for use in models and tools. 
  • Support the delivery of Quant Team projects by working with more senior team members. 
  • Over time, work closely with Quant Engineers to build and deploy solutions as production services  
  • Write high-quality 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 global collaboration, conversations, written reports, and presentations. 


About you:

We think that to be successful in this role you will be able to demonstrate many of the following attributes: 

  • 1-2 years commercial experience in a similar role or a history of high-quality machine-learning or probability modelling research. 
  • Experience or a strong interest in applying modelling techniques to sporting events, with a familiarity with some existing literature for modelling sport. 
  • Experience applying data science or quantitative methods to real-world problems
  • Excellent programming skills in Python, using numerical and scientific libraries such as Numpy and Scipy and a good knowledge of SQL. 
  • Excellent skills manipulating, exploring and analysing varied data sets and data pipelines, including with libraries such as pandas. 
  • Excellent communication ability, both written and verbal, able to explain complex topics to non-specialists. 
  • A problem-solving growth mindset with the ability to pick up new tools and concepts quickly. 
  • Open-mindedness, able to interact in a constructive manner with the Quant team, stakeholders and other contributors to Quant solutions. 
  • Ability to deal with and account for uncertainty, with the flexibility to learn by iteration. 
  • Ability to make well informed decisions based on data and to prioritise priorities effectively. 

In addition, it would be an advantage if you also have: 

  • Masters degree or PhD in STEM subject. 
  • Experience with Bayesian inference, state-space models, multivariate time-series modelling and causal inference. 
  • Experience with widely used probabilistic programming and machine learning libraries such as Stan, PyMC3, Edward, Scikit-Learn, Keras, Tensorflow, PyTorch or MLib. 
  • Programming skills in a statically typed language such as Scala, C++, Rust or Java. 
  • Understanding of software design patterns. 
  • Exposure to cloud computing, ideally AWS. 
  • An interest in sports betting.


What do we offer?  

โšก A great team of passionate analysts and engineers. 

๐ŸŒ Mix of 60+ nationalities and Swedish culture in an English-speaking environment. 

๐ŸŒ† Awesome offices with ergonomic desks, pool and table tennis tables, VR area, gym and yoga area, subsidised lunch, free breakfast on Thursday, daily fresh fruit. 

๐Ÿ›ซ 25 days paid vacation plus bank holidays. 

๐ŸŒณ 3 days CSR leave. 

๐Ÿ“ˆ Employee share plan. 

๐Ÿ“— Training budget, conferences, access to LinkedIn Learnings and mentoring programmes. 

โš•๏ธ Private medical insurance & life assurance. 

๐Ÿ‘ถ Enhanced maternity, paternity, and shared parental leave. 

๐Ÿšฒ ยฃ300 Wellbeing allowance. 

๐Ÿ’ฑ Up to 8% matched pension contributions. 

๐Ÿก Flexible working. 

๐Ÿ’ผ Occasional travel to other Kindred Group offices including Stockholm, Malta, Gibraltar & Madrid. 

โ˜• Meetups and calendar of social events in the office; quarterly Analytics socials. 


Application Process 

Click on the "Apply Now" button and complete the short web form. Please add a covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon. 

Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, age, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. 


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Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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