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Build, deploy, and monitor machine learning and pattern-recognition models to detect lending fraud. Analyze large transactional datasets with Python and SQL, partner with Fraud Operations to iterate on features and reduce false positives/negatives, communicate findings to stakeholders, apply AI in production, and mentor team members.

Owns the most complex loan files through origination: verify bank statements, ensure KYC/CIP compliance, triage and resolve issues, coordinate with underwriters and stakeholders, train junior processors, and maintain data integrity across loan systems.

Develop, own, and deploy core features across full-stack applications. Collaborate in Agile teams to design APIs, work with microservices/event-driven architectures, optimize SQL databases, debug production issues, participate in on-call rotation, and use AI tools to improve development workflows.

Support a core P&L by managing credit performance, driving process improvements and projects end-to-end, evaluating underwriting and vendor proposals, collaborating cross-functionally, and running data-intensive ad hoc analyses to balance credit risk with growth and improve customer experience.

The Strategy and Operations Manager will drive high-impact initiatives for Enova's lending portfolios, manage projects related to customer acquisition and portfolio performance, and work cross-functionally to enhance business outcomes.

Manage transition of delinquent accounts to external law firms and collections agencies; prepare and audit documentation and placement records; reconcile external recovery reports with internal finance data; run account-level reporting and support ad-hoc data requests to drive recovery strategy and revenue.

The Creative & Design Operations Lead will manage systems and processes for creative and design operations, ensuring efficient workflows and vendor management. This role includes building dashboards, managing projects, and optimizing tools for visibility and accountability.

Lead and coach a team of direct sales representatives to meet team quota and drive long-term revenue from small businesses. Monitor pipelines, analyze funnel data to identify improvement areas, conduct 1:1s and trainings, and manage priorities in a high-volume transactional environment while collaborating cross-functionally.

Manage high-complexity loan files through origination: verify bank statements, ensure KYC/CIP compliance, triage and resolve issues, coordinate with underwriters and stakeholders, mentor junior processors, and maintain data integrity across loan systems.

Develop, deploy, and monitor models and pattern-recognition algorithms to detect fraud across lending products. Write Python for analysis and modeling, query complex datasets with SQL, partner with Fraud Operations to refine features and reduce false positives/negatives, conduct ad hoc analyses, and communicate findings to support verification and underwriting improvements.