Junior Quantitative Analyst — Sports Trading & Data

Fanatics Commerce; Dublin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Fanatics Commerce in Dublin is seeking a Quantitative Analyst to apply mathematics, statistics and data science to pricing, betting data and risk models.

You will collaborate with senior quants, traders, engineers and product managers to build predictive models and automate analyses using Python, C#, or C++. This is a hybrid role with 2–5 days per week in our Dublin office, offering a fast-paced environment at the intersection of sports and technology.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Strong mathematical and analytical abilities.
• Excellent work ethic and collaboration skills.
• Detail-oriented with commitment to quality.
• Machine learning knowledge is a plus.
• Proficiency in Python, C#, R, or C++ is a plus.

Responsibilities

• Model development for pricing and risk in sport betting.
• Source and analyze sports data to inform strategies.
• Develop quantitative models using programming languages.
• Collaborate with quants, traders, engineers and product managers.
• Maintain documentation of models and methods; stay updated on the field.

Skills

Mathematics

Statistics

Programming

Teamwork

Attention to detail

Education

Quantitative degree

Tools

Python

C#

R

C++

Job description

Fanatics Commerce in Dublin is seeking a Quantitative Analyst to apply mathematics, statistics and data science to pricing, betting data and risk models.

You will collaborate with senior quants, traders, engineers and product managers to build predictive models and automate analyses using Python, C#, or C++. This is a hybrid role with 2–5 days per week in our Dublin office, offering a fast-paced environment at the intersection of sports and technology.