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Quantitative Analyst I - Job Opportunity at Fanatics, Inc.

Dublin, Ireland
Full-time
Entry-level
Posted: January 30, 2025
Hybrid
EUR 45,000 - 65,000 annually based on Dublin market rates for entry-level quant roles in fintech/betting

Benefits

Hybrid work arrangement with 2-5 days office flexibility
Professional development opportunities in sports betting analytics
Collaborative team environment with exposure to cutting-edge trading technology

Key Responsibilities

Develop and implement mathematical models for sports betting pricing and risk management
Analyze large-scale sports and betting datasets to identify patterns and trading opportunities
Program and automate analytical processes using C# or Python
Collaborate with senior analysts and traders on business solutions
Maintain documentation of quantitative models and methodologies

Requirements

Education

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a related quantitative field

Experience

Entry level with relevant internships or coursework preferred

Required Skills

Outstanding mathematical and statistical skills Excellent work ethic Team collaboration abilities Detail-oriented mindset Advanced machine learning knowledge (plus) Programming proficiency in Python, C#, R, or C++ (plus)
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Sauge AI Market Intelligence

Industry Trends

The sports betting analytics sector is experiencing rapid growth with increasing legalization across multiple jurisdictions, creating high demand for quantitative talent Integration of machine learning and AI in sports betting is driving innovation in predictive modeling and risk management Real-time data processing and automated trading systems are becoming industry standard

Role Significance

Likely part of a 5-10 person quantitative analysis team supporting trading operations
Entry-level position with significant learning and growth potential in a specialized quantitative field

Key Projects

Development of sports event pricing models Risk management system enhancement Automated trading strategy implementation Historical data analysis and pattern recognition projects

Success Factors

Strong foundation in statistical modeling and probability theory Ability to translate mathematical concepts into practical trading applications Quick learning capability to adapt to proprietary trading platforms Detail-oriented approach to data analysis and model validation

Market Demand

High demand with strong growth trajectory due to sports betting market expansion and increasing sophistication of trading algorithms

Important Skills

Critical Skills

Statistical modeling and probability theory for accurate odds calculation Programming skills for model implementation and automation Data analysis capabilities for pattern recognition and trend identification

Beneficial Skills

Sports industry knowledge Financial markets understanding Machine learning expertise Risk management principles

Unique Aspects

Direct involvement in sports betting market operations
Exposure to both US and European betting markets
Integration of sports analytics with financial trading concepts
Opportunity to work with real-time sports data and live betting markets

Career Growth

2-3 years for advancement to senior analyst role with demonstrated performance

Potential Next Roles

Senior Quantitative Analyst Lead Quant Developer Trading Strategy Manager Risk Management Specialist

Company Overview

Fanatics, Inc.

Fanatics is a major player in sports merchandise expanding aggressively into sports betting and gaming

Fast-growing presence in sports betting with operations across multiple US states and international markets
Dublin office serves as a key European technology and analytics hub
Fast-paced, innovative environment with focus on quantitative excellence and technological advancement
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