MORE ABOUT THIS JOB Consumer and Commercial Banking (CCBD) Consumer and Commercial Banking brings innovative solutions to traditional banking activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their personal financial goals. We make direct investments in, and risk manage, a portfolio of corporate loans and securities. And we help transform distressed communities through investments and loans of private capital.
Digital Finance Description Digital Finance, a subdivision of CCBD, is composed of the firm's digitally-led consumer businesses which include the global online consumer deposits business and the US online consumer lending business, the firm's first-ever direct-to-consumer platform built from the ground up. Digital Finance combines the strength and heritage of a 147-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. This unique dynamic allows us to help our customers achieve financial progress through customizable solutions that are grounded in value, transparency and simplicity.
RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL
Design, build and implement best-in-class credit underwriting strategy for digital lending for consumers.
Support product design and business development for for optimizing credit strategy and growing the business prudently.
Identify multitude of data sources and build processing capability to retain highest degree of information value for credit modelling and strategy development.
Build capability to process hundreds of attributes to run optimization algorithms with complex constraints to determine underwriting decision, loan amount and pricing.
Collaborate with marketing, analytics, decision science, operations and technology to build a seamless credit decision framework over customer lifecycle that covers targeting, underwriting and servicing of loans.
Build and optimize existing customer management strategies to improve customer level profitability, identifying cross buy opportunities for low-risk customers as well as delinquency prevention strategy for higher-risk customers.
Analyze and evaluate potential vendors/data providers for incremental value in credit management strategies in a continuous improvement environment.
Keep up-to-date on applicable regulations and compliance requirements with possible interactions with internal and external regulators.
SKILLS & EXPERIENCE WE'RE LOOKING FOR
Bachelor's (Master's preferred) degree (U.S. or equivalent) in Mathematics, Statistics, Economics, Engineering or a related field.
7+ years of experience working for a financial services company in risk management and other quantitative function Prior work experience must include:
Building, improving, or analyzing risk management in a digital consumer or small business lending or similar data driven industries like insurance
Expert knowledge of U.S. credit bureau data and Scorecards building infrastructure.
Utilizing SAS, R, Python (or similar) for advanced statistical analysis for strategy development.
Hands on experience on policy implementation using end-to-end decision engine and origination systems.
Deep understanding of available technology, products and pain points of customer onboarding.
Managing several projects simultaneously and driving end-to-end project delivery.
Developing policy and procedures documentation for strategy execution.
Developing and automating quality control process to ensure intended execution of strategies.
ABOUT GOLDMAN SACHS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.