Sr. Performance Strategist, Collections

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Performance Strategist, Collections based in the United States.** We are seeking a highly analytical Senior Performance Strategist to optimize collections performance across a large-scale, AI-powered debt recovery platform. In this role, you will investigate performance trends, uncover root causes, and translate complex data into actionable strategies that improve recovery rates, customer engagement, and client outcomes. You will collaborate with data scientists, strategy leaders, and cross-functional teams to identify opportunities, resolve technical issues, and enhance decision-making. Through advanced analytics, forecasting, and structured experimentation, you will help shape strategies that deliver measurable financial impact. You will also contribute to revenue planning and communicate clear, evidence-based recommendations to clients and senior leadership. This remote opportunity is ideal for a curious, data-driven professional who thrives in a fast-paced environment and enjoys solving complex business and technical challenges. ### Accountabilities - Diagnose performance trends: Monitor key performance indicators across clients, portfolios, and communication channels, distinguishing external market influences from internal operational factors to identify emerging risks and opportunities before they affect recovery outcomes. - Investigate root causes: Analyze performance fluctuations beyond standard reporting by tracing application logic, business rules, system configurations, and processing workflows to uncover technical defects, strategy gaps, and other underlying issues. - Develop and execute optimization strategies: Translate analytical findings into clear, prioritized recommendations with expected business impacts and measurable success criteria, partnering with strategy leadership to implement improvements in production. - Lead forecasting and scenario modeling: Conduct what-if analyses, stress tests, and revenue forecasts to support business planning and evaluate the financial implications of changes in client portfolios, account placements, and collection strategies. - Design and evaluate experiments: Develop testable hypotheses, establish decision thresholds, and analyze structured experiments to determine which strategies should be scaled, refined, or discontinued. - Support client relationships: Work closely with Client Managers to develop accurate, defensible performance narratives, challenge unsupported assumptions, and participate in important client discussions when analytical expertise is needed. - Leverage data and AI tools: Use advanced SQL, business intelligence platforms, and AI-assisted analytical workflows to accelerate investigations, improve insight generation, and support evidence-based decision-making. - Collaborate across teams: Partner with Strategy, Data Science, Engineering, and Product teams to communicate findings, resolve performance issues, and ensure analytical recommendations translate into measurable operational and financial improvements. ## Requirements - Professional experience: At least six years of experience in analytics, particularly in performance diagnosis, funnel or lifecycle analysis, cohort analysis, performance curve evaluation, or channel optimization. Relevant backgrounds may include consumer collections, lending, customer relationship management (CRM), subscription businesses, or e-commerce. - Education: Bachelor's degree in a quantitative field or equivalent practical experience. - Advanced SQL skills: Proven ability to independently query complex data structures, navigate large datasets, and build custom analytical datasets using platforms such as Snowflake. - Technical investigation: Ability to read and trace Python code, configuration files, business rules, or system logic to understand application behavior and identify