Senior Quantitative Risk Strategist

Quantitative Risk Modeling & Analytics:

• Design, develop, deploy predictive risk models across ACH, wire, card, and cryptocurrency risk domains.
• Apply machine learning, anomaly detection, and statistical methods to identify fraud patterns.
• Build customer-level and portfolio-level models to predict losses and risk events.

Payments Risk Strategy:

• Quantify risk across payment rails and develop forecasting methodologies for losses and return rates.
• Establish KRIs, operational thresholds, and executive reporting frameworks.
• Evaluate new products and growth initiatives through quantitative risk assessments.

Risk Decisioning & Optimization:

• Embed model-driven decisioning throughout the customer journey.
• Design and optimize risk rules and controls to balance fraud prevention with customer friction.
• Lead champion/challenger testing to measure and improve risk controls.

Investigations & Risk Governance:

• Investigate material fraud events and payment losses, recommending corrective actions.
• Support model governance, validation, audit, and regulatory review activities.
• Monitor and calibrate model performance to ensure ongoing effectiveness.