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Quantitative Analytics Lead - Affirm
Software Engineer
Lead quantitative analytics for enterprise risk, driving data‑driven risk modeling, fraud detection, and regulatory assurance using Python, SQL, and AWS services.
About the role
Key Responsibilities
- Design and implement advanced risk models and analytics frameworks to assess and monitor enterprise risk across the organization.
- Lead data extraction, cleaning, and analysis using SQL and Python, ensuring high data quality for risk reporting.
- Develop machine learning solutions for fraud detection and predictive risk scoring, integrating results into operational dashboards.
- Collaborate with internal audit, compliance, and business units to translate risk insights into actionable controls and mitigation plans.
- Maintain and enhance data pipelines on AWS, ensuring scalability, security, and compliance with regulatory standards.
- Prepare concise risk summaries and visualizations for senior leadership and external regulators.
Requirements
- 5+ years of experience in quantitative analytics, risk modeling, or related fields.
Skills
pythonsqldata analysismachine learningaws