• CIMD - Marcus by Goldman Sachs - Fraud Strategy - Associate - New York City

    Location(s) US-NY-New York
    Job ID
    Schedule Type
    Full Time
    Consumer Banking
    Consumer and Investment Management Division
    Business Unit
    DigFin Project Bus Risk Fraud
    Employment Type

    Marcus by Goldman Sachs is the firm’s consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, Marcus has $50 billion in deposits, $5 billion in loan balances and 4 million customers across our lending and deposits businesses, as well as the personal financial management app, Clarity Money. Through the use of insights and intuitive design, we provide customers with powerful tools and products that are grounded in value, transparency and simplicity. We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.



    Our team of critical thinkers works with groups across all areas of the firm to design and deliver industry-leading solutions for the consumer businesses that also help to transform the broader Bank. Our team also provides critical operations and user experience design to ensure that business flows smoothly when customers come to us. From day one, team members play a vital role in upholding our principles of customer focus, process innovation and risk management. 

    The Fraud Strategy team reports into the Chief Risk Officer for the Consumer business along with the Credit Strategy and Business Risk functions. This is a high impact and fast paced role with an opportunity to develop baseline strategies for new business initiates as well as optimize existing fraud programs.



    In your role on the Fraud Strategy team for the Marcus Lending business, you will be responsible for the design, development and execution of a comprehensive fraud strategy and supporting management information systems and management reporting. This role requires the candidate to be able to analyze fraud trends, develop fraud strategies and implement the fraud rules needed to address current as well as evolving fraud threats.  

    The ideal candidate will have expertise in and passion for the prevention of both Identity and Transaction fraud. The ideal candidate will also have a passion for use of innovative technology-driven solutions to provide world class customer experiences within the established risk thresholds of the business and experience leveraging multiple disparate data sources in an integrated decision engine in order to make real time decisions on applicants and/or transactions.  The candidate must be able to collaborate across divisions to deliver enterprise fraud initiatives and have experience working with internal and external governance teams including Customer Operations, Financial Crimes (AML), Compliance, Decision Sciences and Technology. 



    • Use a data-driven approach to understand fraud risk and design effective Identity theft and other fraud prevention program
    • Develop innovative solutions for strategy enhancement and portfolio monitoring
    • Leverage methods from diverse disciplines such as machine learning, deep learning, artificial intelligence, statistical modelling, information theory, information retrieval and other areas to gain insight and detect fraud trends
    • Participate in data architecture decisions and partner with technology teams to implement models/algorithms in production
    • Document assumptions and methodologies, as well as carry out validation and testing to facilitate peer reviews and independent model validation
    • Identify and develop process improvements to maximize efficiency of fraud detection activities as required
    • Research and remain current on the latest industry fraud trends and recommend tools, services and practices for improvement
    • Review, evaluate and drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks
    • Obtain approval for implementation of changes to the fraud strategy
    • Work directly with the Customer Operations leadership team responsible for execution of the fraud strategy


    • Bachelor's or Master’s Degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Physics, Mathematics, etc.) or equivalent experience
    • Minimum of 3 years of industry experience in data science
    • Strong programming background in compiled or scripting languages (e.g., Java, R, Python or similar languages)
    • Experience building complex queries using SQL
    • Knowledge and application of machine learning libraries and repositories (e.g., Hadoop)
    • Strong analytical skills, hands on, proactive approach to problem solving
    • Strong organizational skills and attention to details
    • Flexibility and ability to multi-task 
    • Strong communication skills with the ability to explain complex models and analysis to a diverse audience
    • Fraud experience preferred but not required

    The Consumer and Investment Management Division includes Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and our Consumer business (Marcus by Goldman Sachs). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. CIMD partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.


    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., 2019. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.