Statistician

Statistician (Quantitative Modeling & Simulation) Location: Remote / Virtual Salary: $70,000?$80,000 annually Position Overview The Statistician is responsible for designing, developing, and validating a Monte Carlo?based odds simulation model. This 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. This position works closely with the development team to integrate statistical models into the platform and support data-driven decision-making. This is a full-time, fully remote role. Key Responsibilities

• Design and implement Monte Carlo simulations to model probabilistic outcomes
• Develop quantitative and statistical models based on defined parameters and assumptions
• Validate model accuracy through testing, back-testing, and sensitivity analysis
• Analyze large datasets to refine model inputs and improve predictive reliability
• Document modeling logic, assumptions, and methodologies clearly
• Collaborate with software developers to integrate models into the platform
• Translate complex statistical outputs into clear insights for non-technical stakeholders
• Monitor model performance and recommend improvements over time
• Apply best practices in statistical rigor, reproducibility, and data integrity

• 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

• Competitive salary range of $70,000?$80,000
• Fully remote work environment
• Opportunity to build and own a high-impact simulation model
• Collaborative, technically driven team
• Comprehensive benefits package (details provided during the interview process)

• Full-time, remote position