One of our startup clients with offices in central London is looking for a Quantitative Researcher with hands-on experience in horse racing.   Please see below for more information:

We are a proprietary trading firm and alternative investment manager with a primary focus on quantitative and fundamental sports trading.

Our passion for competitive sports and quantitative research drives our trading philosophy. By applying our predictive systems with our seasoned knowledge of the public sports markets, we seek to deliver sustainable, short and long-term value for our partners and investors with little to no correlation with the traditional financial markets.

Job description:

The successful quantitative researcher candidate will join our London betting solutions team. These solutions entail the development of mathematical, statistical, and AI models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations.

We use a variety of programming languages but are standardising on Python for our data analysis and scripting needs.

Key Responsibilities: 

  • Take lead in the prototype, test, and deployment of stochastic models to predict market and game outcomes in diverse sports betting markets, utilising a data-driven approach.
  • Develop outcome-oriented trading strategies and statistically backtest their performance
  • Effectively communicate results with clarity and efficiency to traders and other colleagues.
  • Work closely with our data scientists and quantitative developers to design and implement mid-high frequency trading strategies for the public sports exchanges
  • You will be using Python for Quantitative and Data Science focused tasks such as the production of new strategies
  • Acquire data from multiple data sources, filtering, cleaning and wrapping
  • Provide biweekly reports on strategy development
  • Identify, analyse and interpret trends or patterns in complex data set
  • Work within the team to prioritise business and information need
  • Identify process improvement opportunities

Skills / Competencies Required:

  • PhD in Computer Science, Maths or similar STEM discipline
  • Experience of building mathematical or ML data models
  • Be able to work independently and to tight deadlines
  • Experience in data research with strong statistical skills
  • Excellent communication skills, able to understand and translate complex technical information
  • Strong data-mining skills paired up with data analysis skills
  • Experience in software design and development using Python, Pandas and SQL / NoSQL
  • Strong coding background, 3+ years
  • Knowledge of cloud computing platforms, AWS preferably
  • Experience in SQL / NoSQL
  • Experience designing ETL workflows
  • Beneficial knowledge of data science packages, sk-learn, scipy, tensorflow, etc.

Salary & Benefits: 

  • Salary: negotiable
  • Bonus scheme
  • 30 days holidays (exclusive of bank holidays)
  • Private health, dental, and vision insurance
  • Life and accident insurance



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