Credit Acceptance Corporation

HQ
Southfield
1,937 Total Employees
Year Founded: 1972

Credit Acceptance Corporation Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Provides fertility benefits

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Company Culture

Offers a remote work program

Offers diversity-based Employee Resource Groups

Financial Services
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.
Financial Services
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.
Financial Services
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.