Develop and implement comprehensive validation frameworks for options pricing models, volatility surface construction algorithms, and other implied calculations.
Document and evaluate new methodologies and analytics to ensure consistency and accuracy.
Collaborate with Quants, Data Analysts, and Business Analysts to improve model integrity

Requirements

Proficiency in Python for data analysis, statistical modeling, and automation.
Experience with large-scale database systems (SQL Server, PostgreSQL) and handling
datasets with millions of records.
Proficiency in statistical methods for outlier detection, time series analysis, and
multivariate techniques.
Experience in advanced statistical modeling, as well as proficiency integrating AI into
workflows or using AI/LLMs to improve systems.
A degree in Finance, Computer Science, Mathematics, Data Science, Statistics, or a
related field.
Familiarity with financial markets, derivatives, or risk modeling is a plus.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonstatistical modelingdata analysisSQL ServerPostgreSQLoutlier detectiontime series analysismultivariate techniquesAI integrationadvanced statistical modeling