DESCRIPTION: Duties: Design and develop models to drive impactful decisions for the Auto Lending business throughout the customer lifecycle, including acquisition, pricing, collection, and recovery. Apply quantitative, data science, machine learning and analytical skills to complex problems. Collaborate with various stakeholders throughout the entire model development process, to find actionable solutions used in production environments. Create and maintain databases used for analytics, model development and reporting. Work with internal and third-party data, to evaluate new inputs used to identify trends and credit profiles. Responsible for model development, including data evaluation, model selection and testing. Apply the latest machine learning model explain ability techniques and methodologies to communicate results to business partners and customers. Act as a subject matter expert and mentor junior analysts. QUALIFICATIONS: Minimum education and experience required: Ph.D. degree in Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering, Economics, or related field of study plus 1 year of experience in the job offered or as Risk Program Associate, Model Development Associate/Specialist, or related occupation. The employer will alternatively accept a Master's degree in Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering, Economics, or related field of study plus 3 years of experience in the job offered or as Risk Program Associate, Model Development Associate/Specialist, or related occupation. Skills Required: Requires 1 year of experience with the following: Quantitative data management and analytics including data extraction, cleaning, transformation, and visualization from internal and third-party data sources; and analytical and modeling methods including logistic regression, multinomial regression, and multivariate analysis. Requires experience with the following: Experiment design and simulations for quantitative analysis; Pricing strategy and P&L forecasting; Machine Learning including supervised and unsupervised models and model explainability methodologies (such as SHAP); and model implementation and optimization. Job Location: 8181 Communications Pkwy., Plano, TX 75024 Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans