iHunters is partnering with a global leader in the iGaming industry. The company operates at the intersection of technology, entertainment, and data, delivering best-in-class digital experiences in a highly dynamic and regulated environment. Your Role:

As a Quantitative Analyst, you will be responsible for building and optimizing mathematical and statistical models to support our odds pricing strategy. Your insights will play a critical role in ensuring our betting markets reflect true probabilities and respond effectively to market dynamics.

Key Responsibilities:

• Develop and maintain quantitative models to price betting odds across various sports.

• Analyze historical and real-time data to predict event outcomes and inform pricing decisions.

• Identify market inefficiencies and arbitrage opportunities.

• Collaborate closely with trading, data, and engineering teams to deploy pricing algorithms into production.

• Monitor and evaluate model performance, continuously refining strategies based on data insights and market feedback.

Requirements:

• Degree in Mathematics, Statistics, Physics, Engineering, Economics, or a related field.

• Experience in statistical modeling, time-series analysis, and machine learning.

• Solid understanding of probability theory and game theory.

• Proficiency in Python, R, or similar programming languages used in quantitative analysis.

• Previous experience in the sports betting industry is a strong plus.

Nice to Have:

• Experience building real-time pricing or risk models.

• Familiarity with frameworks such as PyMC, scikit-learn, or TensorFlow.

• Ability to interpret sports-related data and turn it into actionable variables.

Work Setup:

• Remote or hybrid (flexible, depending on location and preference).

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