Teams at Possible Finance

Own and build the company’s machine learning infrastructure, including a shared feature store, model-serving systems, drift monitoring, and unified deployment pipelines. Establish long-term MLOps standards and processes from the ground up, while collaborating with data scientists and engineers to drive adoption and improve production model reliability.

Own data science for payment performance, optimization, timing, retry strategies, monitoring, experimentation, and fraud detection. Build payment-health scorecards, anomaly monitoring, payment-risk models, and production ML systems using Python, SQL, PySpark, Databricks, and MLOps tooling. Partner with Engineering, Product, and Risk to shape payment strategy and roadmap while applying causal inference, feature engineering, and production model monitoring.

Lead the Cash Access Technology team owning short-term loan and cash advance products. Define roadmap, drive KPIs (approval, repayment, conversion, retention, CSAT), expand products to new states, partner with compliance, operations, risk, data science and engineering, manage audits with banking partners, and improve product development processes to deliver customer-focused, compliant lending experiences.