Statistician (Quantitative Modeling & Simulation)
Not Disclosed•Full-TimeRemote
location_onRemote
About the Role
This position serves as the analytical engine for our platform, focusing on the design, development, and validation of a Monte Carlo–based odds simulation model. The role exists to bridge the gap between complex quantitative theory and practical, production-ready applications, ensuring that our predictive outcomes are accurate, reliable, and actionable.
You will be the primary owner of the simulation logic, working closely with the development team to integrate statistical models directly into the platform. Your work will drive data-driven decision-making across the organization, translating intricate statistical outputs into clear insights for non-technical stakeholders. This is a fully remote, full-time opportunity designed for an independent thinker who thrives in a collaborative, technically driven environment.
Work location
Work model: Remote
Remote
Key Responsibilities
- check_circleDesign and implement Monte Carlo simulations to model probabilistic outcomes
- check_circleDevelop quantitative and statistical models based on defined parameters and assumptions
- check_circleValidate model accuracy through testing, back-testing, and sensitivity analysis
- check_circleAnalyze large datasets to refine model inputs and improve predictive reliability
Similar Job Opportunities
Skills, education and keywords
Skills: Monte Carlo, Statistical Modeling, Quantitative Analysis, Probabilistic Modeling, Python, R, SQL, Data Analysis.
Education: Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or related field required; Master's degree preferred.
Frequently asked questions about Statistician (Quantitative Modeling & Simulation) at luminate works
What does a Statistician (Quantitative Modeling & Simulation) at luminate works do?expand_more
A Statistician (Quantitative Modeling & Simulation) at luminate works is responsible for the following: 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; and Analyze large datasets to refine model inputs and improve predictive reliability.
What are the requirements for this Statistician (Quantitative Modeling & Simulation) role?expand_more
To qualify for the Statistician (Quantitative Modeling & Simulation) at luminate works position, applicants should have: Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or related field; Master's degree 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 Python, R, SQL, or similar statistical/programming tools; and Experience working with large datasets and computational models.