Statistician

Statistician responsible for designing, developing, and validating a Monte Carlo–based odds simulation model. The role applies advanced statistical modeling and quantitative analysis to predict outcomes based on defined parameters, ensuring accuracy, reliability, and practical usability within a production environment.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related field (Master’s preferred)
• 4–8 years of experience in statistical modeling, quantitative analysis, or simulation-based work
• Strong experience with Monte Carlo methods and probabilistic modeling
• Proficiency in statistical or programming tools such as Python, R, SQL, or similar
• Experience working with large datasets and computational models
• Strong analytical thinking and attention to detail
• Ability to work independently in a remote environment
• Clear written and verbal communication skills

Benefits

• Comprehensive benefits package