Jobs at Credit Acceptance Corporation

The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.

Lead and develop Directors of Sales across assigned districts to drive sales, dealer relationships, and P&L performance. Translate regional strategy into market plans, enforce execution discipline, coach leaders, manage performance and expenses, and partner cross-functionally to improve market results and organizational health.

Lead and develop Directors of Sales across assigned Southeast districts to drive sales performance, P&L results, dealer relationships, and market strategies. Translate regional strategy into actionable market plans, use data to monitor performance, coach leaders, manage expenses, and partner cross-functionally to improve organizational health and execution.

Lead design, deployment, and monitoring of predictive models for credit risk, collections, and operations. Drive adoption of modern ML and MLOps, mentor data scientists, define strategic roadmap, advise senior leadership, and ensure model governance and regulatory compliance.

Lead and develop Directors of Sales across assigned districts to execute regional strategies, drive dealer relationships, meet sales and P&L targets, and build leadership capability. Use data and market insights to improve performance, manage expenses, enforce accountability, guide organizational design, and partner cross-functionally to implement change and tools. Frequent travel required to support field execution.

Lead FP&A strategy, budgeting, forecasting, financial modeling, management reporting, and analytics. Advise CFO and executives on capital allocation, M&A evaluation, and performance improvement while building a high-performing FP&A team and advancing finance technology and AI-enabled decision support.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Design, build, and deploy enterprise-scale AI systems (agents, retrieval/RAG, generative AI) and reusable platforms. Own end-to-end solutions from discovery through production, testing, observability, and mentoring, driving architecture, standards, and cross-team adoption.

Perform analysis of loan servicing strategies, monitor champion/challenger tests, develop complex data extraction and manipulation code, produce performance reports, and translate business goals into technical tasks to optimize high-volume decisions.

Senior individual contributor owning AI/ML products end-to-end: discover opportunities, define roadmaps, make build-vs-buy decisions, lead vendor evaluations and cross-functional delivery, monitor KPIs and operational signals, and drive continuous improvement and adoption.

Design, develop, implement, and monitor statistical and machine learning models to support credit risk, collections, servicing, marketing, and forecasting. Build data pipelines, translate business needs into analytical solutions, support model governance, testing, deployment, and ongoing performance monitoring, and communicate results to stakeholders.

Lead development and deployment of predictive and ML models for credit risk, collections, and operations. Mentor data scientists, promote MLOps and modern tools, present insights to stakeholders, and drive experimentation with techniques such as causal inference and GenAI.

Lead development and execution of Sales Readiness strategy and programs to prepare sellers, drive adoption, and improve field performance. Manage a team delivering coaching, enablement content, field engagement, and readiness initiatives. Partner cross-functionally to translate priorities into scalable resources, measure program impact, and continuously improve seller capability and productivity.

Lead the Sales Strategy & Analytics function to deliver reporting, KPI tracking, profitability and competitive analysis, and sales technology ownership. Partner cross-functionally to provide executive insights, optimize tools and processes, drive adoption, and develop a high-performing analytics team that improves sales productivity, profitability, and strategic decision-making.

Lead a BI team to build and maintain dashboards, reports, and data models; enable self-service via semantic layers; partner with product, engineering, and stakeholders; drive AI and advanced analytics adoption; ensure data quality, pipeline clarity, and BI system reliability; prioritize backlog, mentor team members, and promote data-driven decision making.

Lead accounting and financial reporting teams to produce accurate GAAP and non-GAAP financial statements, SEC filings, and SOX 404-compliant controls; provide executive financial analysis, implement accounting policies, support audits, and drive finance technology and process improvements.

The Senior Staff Cloud Engineer will lead cloud strategy, design architectures for scalability and reliability, and manage cloud solutions to optimize IT infrastructure, ensuring high performance while mentoring team members.

The Senior Business Strategy Analyst conducts strategic analyses to inform growth and GTM strategy, collaborating with leaders and providing data-driven recommendations based on independent analysis.

Lead enterprise planning, forecasting, and performance management. Translate strategy into driver-based models, deliver accurate forecasts, establish KPIs and governance, enable modern reporting and analytics, track initiative value, and partner with executives to drive data-driven decisions and accountability across the organization.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.