Own the performance of all deployed statistical and machine learning models, ensuring seamless translation to effective underwriting decisions and portfolio results.
Direct end-to-end credit strategy, translating models into underwriting policies, approval strategies, and pricing frameworks that balance growth and loss targets.
Oversee portfolio monitoring with early-warning systems and proactive risk adjustments across all credit products.

Data & Infrastructure:

Act as primary owner of data quality roadmap, identifying discrepancies and driving solutions to ensure reliable risk decisioning.
Source and integrate net-new data signals, including alternative data like transaction-level and behavioral indicators, to improve model accuracy.
Translate business requirements into data engineering specs for scalable decisioning infrastructure.

Leadership & Collaboration:

Lead a team of seven risk specialists, creating clarity, momentum, and accountability while maintaining sustainable execution pace.
Work with Risk Ops, Capital Markets, Finance, Product, and Engineering to align credit strategy with business goals.
Build a culture of analytical rigor, pragmatism, and bias for action.

Pipe

Pipe builds embedded capital for small businesses through credit products inside software platforms like vertical SaaS and marketplaces. It is a remote-first team with 250% ARR growth year over year, partnerships with major brands like Uber Eats, and a culture of high trust and no ego.

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