Hybrid Quantitative Analyst – Sports Trading

Fanatics; Dublin; Hybrid; EUR 70,000 - 120,000; Full time

Job summary

Fanatics is seeking a Quantitative Analyst to operate at the intersection of sports trading, mathematics, and data science. The role focuses on analyzing sport and betting data, developing predictive models, and aiding trading decisions within a hybrid Dublin office setting.

You will collaborate with senior quants, traders, engineers, and product managers to improve pricing efficiency and expand betting odds on our proprietary platform.

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 languages such as Python, C#, R, or C++ is a plus

Responsibilities

• Model Development: Assist in the development, implementation, training and testing of mathematical models for pricing & managing the risk of sport betting events.
• Data Sourcing & Analysis: Collect and clean sports-related data; analyze large datasets to identify patterns, trends, and correlations that can inform trading strategies.
• Programming: Use programming languages such as Python or C# to develop quantitative models, code and automate analytical processes, and perform data analysis tasks.
• Collaboration: Collaborate with senior quantitative analysts, traders & product managers to understand business requirements, implement solutions, and communicate findings effectively.
• Continuous Learning: Stay abreast of developments in quantitative analysis & betting markets, and related fields through self-study & training

Skills

Mathematics

Statistics

Analytical thinking

Teamwork

Attention to detail

Machine learning

Education

Bachelor's or Master's degree in Mathematics/Statistics/CS/Finance/Economics

Tools

Python

C#

R

C++

Job description

Fanatics is seeking a Quantitative Analyst to operate at the intersection of sports trading, mathematics, and data science. The role focuses on analyzing sport and betting data, developing predictive models, and aiding trading decisions within a hybrid Dublin office setting.

You will collaborate with senior quants, traders, engineers, and product managers to improve pricing efficiency and expand betting odds on our proprietary platform.