Fraud Model Developer

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Develop quantitative, statistical, and machine learning models to reduce fraud losses and minimize false positives.
• 2
  Aggregate, clean, and synthesize large datasets from multiple data environments to support model development and analysis.
• 3
  Analyze complex datasets to identify fraud patterns, product-performance trends, and key drivers of losses across SoFi's products.
• 4
  Design, test, validate, and recalibrate fraud models using appropriate statistical and machine learning methodologies.
• 5
  Monitor model performance and identify model degradation, data drift, or changes in fraud behavior.

RequirementsAI-extracted

• Five or more years of experience in fraud modeling, loss forecasting, advanced quantitative modeling, machine learning, or a related field.
• Master's or doctoral degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or another quantitative field, or equivalent relevant professional experience.
• Advanced proficiency in Python and SQL for data analysis, feature development, and machine learning model development.
• Experience creating analytical reports or dashboards using Tableau or a comparable data-visualization platform.
• Demonstrated experience developing and evaluating statistical and machine learning models.

Perks & BenefitsAI-extracted