Consumer & Community Banking - Head of Auto Credit Risk Modeling - Executive Director
Job Description Company Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase & Co. is available at Company website/.
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Chase Auto has been a leading provider of auto financing for more than 80 years, and is one of the largest auto lenders in the U.S.
We are currently seeking an outstanding Executive Director level candidate as the Head of Auto Credit Risk Modeling team. In this critical role you will be managing a team of machine learning modelers who are responsible for developing and maintaining best-in-class machine learning risk models. You will be charged with identifying business opportunities for applying suitable machine learning algorithms to develop predictive models that enhance the effectiveness of credit loss control. Your expertise and thought leadership in big data platforms and machine learning techniques will substantially influence the direction of the next generation of risk models.
In this highly visible role, the successful candidate will demonstrate analytic leadership through business acumen, collaboration, and effective communication skills with senior management. Success in this role requires a strong foundation in predictive modeling and machine learning, along with deep understanding of the auto credit business. The candidate should have a proven ability to deploy scalable solutions harnessing vast amounts of data and computation into distributed systems.
Your key responsibilities include:
- Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact.
- Design machine learning solutions to address business needs, including adverse action reasons for machine learning models
- Manage multiple model development projects
- Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle.
- Manage model risk and related governance and controls
- Synthesize the findings at various points through the model development process to share progress and actionable insights with senior leadership and other stakeholders
Qualifications
Required
- Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
- 10 years of experience in developing or managing the development of predictive models in the auto lending industry
- Experience in developing commercial applications for machine learning that are interpretable
- Experience in open source programming languages for large scale data analysis such as Python / Scala / Java
- Experience managing a team of data scientists or machine learning modelers
- Experience with the following machine learning and optimization techniques: Regressions, XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process, KNN.
- Polished and clear communications with senior management
- Experience implementing scalable machine learning/data mining algorithms making use of distributed/parallel computing systems
About Us 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 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Equal Opportunity Employer/Disability/Veterans
About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.