• Own and drive end-to-end product analytics and experimentation for key consumer-facing products and initiatives • Design, execute, and analyze A/B and multivariate experiments • Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches • Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys • Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders • Develop and maintain key product KPIs, dashboards, and monitoring metrics • Ensure accurate event tracking and data instrumentation for new and existing product features • Build analytical models or ML solutions where appropriate • Act as a thought partner and data leader within product teams • Support ad-hoc analyses and strategic deep dives that influence roadmap prioritization and business strategy

• Develop strategies to improve payment-processing efficiency and reduce operational risk. • Identify opportunities to optimize our processing strategies and customer interventions. Work with stakeholders to prioritize and plan for improvement. • Collaborate with software engineers, data science, operations, finance, and product managers to implement and measure new strategies and enhancements to the platform • Create automated monitors to systematically detect anomalies, identify discrepancies, errors, or potential fraud, and take appropriate action. • Conduct thorough investigations into payment-related issues, errors, and returns. Collaborating with internal teams to resolve discrepancies promptly. • Develop and maintain detailed documentation of payment processes, procedures, and workflows. Mentor and train others on the same. • Perform reconciliations and audits of financial data to ensure accuracy and integrity. • Support cross-functional projects and initiatives related to payment systems and operations.

• This is a remote position. • Lead and mentor junior engineers in data pipeline projects. • Build and optimize ETL/ELT pipelines using various tools. • Work with SQL, Python or Scala, and data warehouses and lakes. • Familiarize with cloud platforms, containerization, and CI/CD processes.

• Lead reporting and advanced analytics to support collection and recovery strategies and operations for both personal loan and credit card products. • Conduct analysis and deliver analytical insights to enable and optimize the end-to-end collection and recovery strategies and deliver strong credit performance. • Lead the development of loss forecasting models. Continuously evaluate and improve forecasting methodologies by incorporating industry best practices to drive accuracy and efficiency. • Collaborate with Credit Risk, Marketing, Product, Engineering and other cross-functional teams to implement strategies and monitor strategy performance. • Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers. • Communicate findings and recommendations to Collection and Recovery strategy and operations management and broader Prosper community. • Bring innovative/out of the box thinking to make recommendations and to approaching/solving problems. • Design A/B tests and understand the risk-return trade-offs. • Continue to innovate by testing new data, analytics approaches and models. • Conduct ad-hoc analysis related to risk management, investor services, product, and operations