Analyst Quant I

Overview

As a Junior Quantitative Analyst, you'll operate at the intersection of sports trading, mathematics, and data science. Your primary focus will be on analyzing sport & betting data, developing predictive models, and assisting with trading decisions. You'll collaborate with senior quants, traders, engineers and product managers to continuously improve pricing efficiency and expand the range of betting odds generated by our proprietary trading platform and continuously improve our risk models & management strategy. You will apply mathematical and statistical techniques to solve complex problems. It is an exciting opportunity for professional development in a dynamic and fast-paced environment.

The base salary range for this role is €48,000-€67,000 per year, depending on job-related knowledge, skills, and experience.

This is a hybrid role, requiring 2-5 days per week in our Dublin office.

Responsibilities

As a junior quantitative analyst, your responsibilities will include

• 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 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 & 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 & betting markets, and related fields through self-study & training

Qualifications

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

Skills

• 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

Experience

• While junior roles often don't require extensive experience, any exposure to financial markets, data analysis, or quantitative research is beneficial.
• Internships or coursework related to quantitative finance or numerical modeling are a plus.