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Senior Data Scientist for Sports Trading

2 weeks ago


Dublin, Dublin City, Ireland beBeeQuantitative Full time €93,000
Quantitative Analyst Position

We are seeking a skilled Quantitative Analyst to join our team. In this role, you will be responsible for developing and implementing mathematical models for pricing and managing risk in the sports trading industry.

Main Responsibilities:
  • Model Development:
    • Develop, implement, train, and test mathematical models for pricing and managing risk of sport betting events.
  • Data Sourcing & Analysis:
    • Collect and clean sports-related data,
    • Analyze large datasets of play by play (simulated or historical) and betting data to identify patterns, trends, and correlations that can inform trading strategies.
  • Programming:
    • Use programming languages such as C# or Python to develop quantitative models, code, and automate analytical processes, and perform data analysis tasks.
  • Collaboration:
    • Collaborate with senior quantitative analysts, traders, and product managers to understand business requirements, implement solutions, and communicate findings effectively
    • Document and maintain clear and concise documentation of quantitative models, methodologies, and analysis procedures for internal reference
  • Continuous Learning:
    • Stay abreast of developments in quantitative analysis and betting markets, and related fields through self-study and training
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field.
  • Outstanding mathematical, statistical, and analytical skills.
  • Excellent work ethic and good team skills.
  • Detail-oriented mindset with a commitment to producing high-quality work and adhering to best practices in quantitative analysis and research.
  • Strong understanding of more advanced machine learning techniques is a plus.
  • Proficiency in at least one programming language such as Python, C#, R, or C++ is a plus.
Benefits:
  • This is an exciting opportunity for professional development in a dynamic and fast-paced environment.
  • The role requires 2-5 days per week in our Dublin office.