Consumer Lending - Credit Decision Management - Associate/Vice President - New York

  • Competitive
  • New York, NY, USA New York NY US
  • Permanent, Full time
  • Goldman Sachs USA
  • 20 Jun 18 2018-06-20

Consumer Lending - Credit Decision Management - Associate/Vice President - New York

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 business unit within CCBD, is comprised of the firm's digitally-led consumer businesses, which include the Marcus deposits and lending businesses, as well as the personal financial management app, Clarity Money. Digital Finance combines the strength and heritage of a 148-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency and simplicity to help them make smarter decisions about their money.

Our Impact
The Credit Risk Strategy team develops, implements and maintains the underwriting strategy as well as customer management strategies for the consumer lending business at Goldman Sachs. We leverage traditional, alternative and behavioral data to create an underwriting policy that helps ensure risk-adjusted returns. We work extensively with the marketing, decision sciences, product and technology teams to help create a product and experience that puts the customer at the center.

We look for individuals with strong problem solving and analytical skills, innovative thinking and intellectual curiosity who want to make an immediate impact on the credit strategy and help the business manage risk effectively.

Your Impact
Are you passionate about analyzing data, finding insights and using that to build new strategies? We're looking for a professional to join our Credit Risk Strategy team who wants to use their skills and ideas to build the credit strategy for a digital consumer lending business at Goldman Sachs.


  • Design, build and implement best-in-class credit decision infrastructure for digital banking products for a top global financial firm
  • Identify multitudes 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
  • Analyze and evaluate potential vendors/data providers for incremental value in credit management strategies in a continuous improvement environment
  • Keep up to date with applicable regulations and compliance requirements with possible interactions with internal and external regulators

  • 7+ years of experience working for a financial services company in risk management, technology or other quantitative function
  • Master's degree (U.S. or equivalent) in Mathematics, Statistics, Economics, Engineering or a related field
  • Prior experience as a team member or technical lead in any execution process
  • Experience building, improving, or analyzing risk management in a digital consumer or small business lending context
  • Skill utilizing SAS, R, Python (or similar) for advanced statistical analysis for strategy development
  • Deep understanding of available technology, products and pain points of credit decision execution
  • Experience managing several projects simultaneously and driving end-to-end project delivery
  • Hands-on experience with C++, Java , Python or an equivalent programming language, and thorough knowledge of object oriented software engineering concepts
  • Strong knowledge of data structures, algorithms and design patterns
  • Exceptional written and oral communication skills with a proven ability to articulate complex ideas, express and defend a point of view, and influence outcomes

Preferred Qualifications:
  • Hands on experience on micro-service design and implementation, such as dedicated decision engines and/or orchestration layers
  • Expert knowledge of U.S. credit bureau data and Risk Scorecards building infrastructure

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.

© The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.