Credit Acceptance Corporation

HQ
Southfield
1,937 Total Employees
Year Founded: 1972

Jobs at Credit Acceptance Corporation

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Financial Services
Design, build, test, and ship production AI-enabled software and reusable components for enterprise workflows. Implement context-aware agentic systems, integrate models and APIs, write unit tests, debug production issues, lead code reviews, mentor engineers, participate in on-call rotation, and collaborate with U.S. business partners while working remotely from India.
Financial Services
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.
Financial Services
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.
Financial Services
The role involves leading paid consumer acquisition strategies, optimizing multi-channel campaigns, managing budgets, and collaborating across teams to achieve aggressive growth goals in consumer marketing.
Financial Services
Senior individual-contributor responsible for designing, building, and scaling enterprise compute, virtualization, container, and storage platforms. Lead infrastructure architecture, automation (IaC), incident response, and cross-team technical direction. Mentor engineers, reduce operational toil through code and automation, evaluate AI-assisted tooling, and ensure resilient, cost-effective hybrid cloud and data center solutions.
Financial Services
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.
Financial Services
Lead design, automation, and operation of reliable, scalable database platforms. Implement IaC, CI/CD integration, observability, replication/migration strategies, security controls, performance tuning, HA/DR architectures, and developer self-service. Drive incident response, capacity planning, and automation to reduce toil.
Financial Services
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.
Financial Services
Provide high-impact confidential support to C-level executives: manage complex calendars, communications, meetings, travel, and briefing materials; lead cross-functional projects; improve executive-office processes; triage issues and represent the executive with discretion to enable strategic decision-making.
Financial Services
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.
Financial Services
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.
Financial Services
Design, develop, test, deploy, and support backend-focused software components. Own small features end-to-end, write unit tests, participate in code reviews, debug production issues, document designs, and collaborate with global stakeholders while following SDLC and Agile practices.
8 Days AgoSaved
In-Office
Southfield, MI, USA
Financial Services
Design, develop, and improve software; evolve application architecture; establish coding, documentation, and testing standards; perform impact analysis, lead code reviews and debugging; mentor engineers, run continuous learning, and participate in hiring. Requires experience with SOAP UI, JUnit, and RESTful services.
Financial Services
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.
Financial Services
The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.
Financial Services
The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.
Financial Services
The Analyst will analyze data, develop programming for data extraction, create reports, investigate trends, and monitor statistical models to enhance business decisions.
Financial Services
Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.
Financial Services
Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.
Financial Services
Lead vision, architecture, and delivery of an enterprise AI engineering platform. Align platform capabilities with engineering, security, and cost controls; enable self‑service AI tooling, governance, and production‑grade CI/CD for AI workflows; build and mentor a high‑performing platform team; and drive responsible, scalable adoption of AI across the company.