Senior Quantitative Analyst (689)

Scalence L.L.C. is seeking a Senior Quantitative Analyst with expertise in Python to assist in building and maintaining forecasting and simulation models for long-range planning. The role involves translating business logic into Python code, performing data analysis, and implementing Monte Carlo simulations to quantify uncertainty.

Responsibilities:

• Write clean, correct Python code to analyze time-series and tabular datasets using Pandas and NumPy
• Implement Monte Carlo simulations to model uncertainty in forecasts and produce confidence intervals (e.g., P10, P50, P90)
• Convert existing Excel-based models or business logic into maintainable Python implementations
• Aggregate, clean, and transform real-world datasets (CSV or table-based) to produce forecasting inputs and outputs
• Build notebook-based analysis that can be re-run regularly with updated data
• Add basic sensitivity analysis to understand which inputs most affect forecast outcomes
• Work with stakeholders to clarify assumptions and validate results, focusing on correctness, transparency, and reproducibility