Credit Acceptance

A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.. The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.. Knowledge of the auto lending industry and related analytical tools.. 2+ years' experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc.. 3+ years' experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc.

predictive analytics

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.Outcomes and Activities:<ul><li>This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.</li><li>Test and implement models and data infrastructure used to execute strategy</li><li>Actively monitor the performance of models in production</li><li>Develop complex programming to extract and manipulate data</li><li>Models and strategies: Develop, monitor, and maintain complex statistical models with the goal of optimizing high volume decisions to add intrinsic value to Credit Acceptance</li><li>Reporting: Develop and produce reports to measure the performance of processes, models, and strategies</li><li>Ad hoc analysis: Perform analysis to solve business problems and drive better decisions</li><li>Translate business requirements: Translate high level business goals into the tasks and technical specifications needed to accomplish the goal</li></ul> Knowledge and Skills: <ul><li>Knowledge of the auto lending industry and related analytical tools.</li><li>Apply analytical skills to solve problems creatively.</li><li>Act promptly and effectively when assigned tasks.</li><li>Communicate complex information to others in a way they can understand.</li><li>Work well with others in a team environment.</li><li>Be proactive and make recommendations as opportunities arise.</li><li>Be self-motivated and able to perform with minimal supervision.</li><li>Be able to extract and manipulate large data sets.</li></ul> Requirements:<ul><li>Bachelor's degree or higher</li><li>2+ years' experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc. (Mid-level)</li><li>3+ years' experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc. (Senior)</li><li>Extensive knowledge of statistical modeling methods</li></ul> Preferred: <ul><li>Advanced SAS programming certification</li><li>Recent small company experience</li><li>Experience developing credit scorecards or collection scores</li><li>3+ years' experience in financial services analytics, or a combination of higher education and experience</li></ul>Targeted Compensation: $87,000 - $144,600 + an annual bonus planThis position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.INDCSMP#LI-Remote#zipBenefits<ul><li>Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work</li></ul>Our Company Values:To be successful in this role, Team Members need to be:<ul><li>Positive by maintaining resiliency and focusing on solutions</li><li>Respectful by collaborating and actively listening</li><li>Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions</li><li>Direct by effectively communicating and conveying courage</li><li>Earnest by taking accountability, applying feedback and effectively planning and priority setting</li></ul>Expectations:<ul><li>Remain compliant with our policies processes and legal guidelines</li><li>All other duties as assigned</li><li>Attendance as required by department</li></ul>Advice!We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S.We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk!Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.Play the video below to learn more about our Company culture.

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