Jobs at Possible Finance

Respond to customer inquiries through email, callbacks, chat, and phone; classify and investigate issues, resolve them using knowledge resources, and escalate complex cases to higher-tier teams. Maintain ownership of requests and provide timely updates through resolution. Support cross-training and backup coverage across Operations while developing knowledge of company products, services, and mission.

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.

Lead product marketing for a multi-product consumer fintech platform: build competitive intelligence, define pricing/tiering, own positioning and GTM, drive adoption and retention using qualitative and quantitative insights, and partner cross-functionally with Product, Research, and leadership to influence strategy and launches.

Lead end-to-end lifecycle marketing for new-user growth across email, push, in-app, and SMS. Develop strategy, segmentation, testing frameworks, and campaign roadmaps; partner with Data Science, Product, and Creative to personalize and scale programs using automation and AI. Execute experiments, optimize performance, and present results to senior leadership.