Statistician

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and execute Monte Carlo simulations to represent probabilistic outcomes.

• Create quantitative and statistical models based on established parameters and assumptions.

• Ensure model accuracy through rigorous testing, back-testing, and sensitivity analysis.

• Analyze extensive datasets to enhance model inputs and boost predictive reliability.

• Clearly document modeling logic, assumptions, and methodologies.

• Work in conjunction with software developers to integrate models into the platform.

• Convert complex statistical results into understandable insights for non-technical stakeholders.

• Continuously monitor model performance and suggest enhancements over time.

• Implement best practices regarding statistical rigor, reproducibility, and data integrity.

⛳️ Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related field (Master’s degree is preferred).

• 4–8 years of experience in statistical modeling, quantitative analysis, or simulation-based roles.

• Extensive experience with Monte Carlo methods and probabilistic modeling.

• Proficient in statistical or programming tools such as Python, R, SQL, or equivalent.

• Experience in handling large datasets and computational models.

• Strong analytical skills and meticulous attention to detail.

• Capability to work independently in a remote setting.

• Excellent written and verbal communication skills.

🏝️ Benefits

• Competitive salary range of $70,000–$80,000.

• Fully remote work environment.

• Opportunity to develop and manage a high-impact simulation model.

• Collaborative and technically-focused team.

• Comprehensive benefits package (details will be provided during the interview process).