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Job Description – Quantitative Analytics Lead.We are seeking a Quantitative Analytics Lead to join the Loss Forecasting team.This is an exciting opportunity to develop and manage an integrative set...[internal_linking.show_more]
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Job Description – Quantitative Analytics Lead
We are seeking a Quantitative Analytics Lead to join the Loss Forecasting team. This is an exciting opportunity to develop and manage an integrative set of credit risk models for the company’s auto finance portfolio.
Working with various partners, the role will also have responsibilities for loss forecasting and portfolio credit analytics. A successful candidate will expand competencies and grow business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will also gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.
In the Role
· Develop and implement portfolio loss forecasting and CECL models for the auto finance portfolio
· Conduct ongoing monitoring and reporting related to existing models and identify potential model enhancements as needed
· Generate model output and analysis summaries and present to senior management
· Produce model methodology and performance documentation for internal/external audit partners
· Continually enhance existing processes and reporting through automation, quality control, and analytical insights
· Partner with business and credit risk leaders within auto finance to ensure loss forecasts are aligned with latest strategic initiatives
· Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities
Requirements
· Bachelor’s Degree in a quantitative discipline (Engineering, Statistics, Economics, Biostatistics, Physics, or Computer Science). Master’s/PhD preferred.
· 3+ years of experience in a consumer lending institution, preferably with auto finance experience
· Advanced experience with technical software and programming languages such as SAS, SQL, R, or Python
· Applied experience in a variety of modeling techniques
· Superior communication skills with the comfort to interact and influence partners at all levels and senior business executives
· Proven experience working with teams of diverse individuals focused on several disparate projects simultaneously
Preferred:
· Proficiency in working with auto finance portfolio data
· Knowledge of the Current Expected Credit Losses (CECL) accounting standard
· Experience developing and implementing CECL, CCAR, or loss forecasting models
Location: Wilmington, DE or Baltimore, MD
Target base salary range is $115-$135K which is based on various factors including skills and work experience. In addition to base salary, this role is eligible for a competitive compensation program that is based on individual and company performance.
Who we Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with:
