• CIMD – Marcus by Goldman Sachs – Lending Fraud and Verification – Analyst – Draper, UT /Richardson, TX

    Location(s) US-TX-Richardson
    Job ID
    Schedule Type
    Full Time
    Consumer Banking, Fraud
    Consumer and Investment Management Division
    Business Unit
    DigFin Risk,Fraud,Collections
    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 Digital Finance business along with the Credit Risk Strategy, Collections Risk 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
      • Provide recommendation for enhancement to the fraud strategy
    • Participate in Product, Product strategy, data architecture decisions and partner with technology teams to implement strategies in production
    • 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
    • Work directly with the Customer Operations leadership team responsible for execution of the fraud strategy



    • Bachelor’s (Master’s preferred) degree (U.S. or equivalent) in Mathematics, Statistics, Economics, Engineering or a related field
    • At least 1 year of experience with coding in SQL and Python or R
    • Experience with data visualization products such as Tableau
    • Experience with using advanced Microsoft Office skills, specifically Excel (including creation of pivot tables, logic functions, data tables and regression analysis), PowerPoint and Word
    • Strong organizational skills and attention to details
    • Proactive, flexible and ability to multi-task 
    • Ability to learn quickly and adapt to projects and deadlines
    • Strong communication skills


    • Experience with utilizing R, Python (or similar) for statistical modeling and analyzing time-series data
    • Experience with developing comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets
    • Experience in fraud prevention strategy and analytics



    At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

    We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

    We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

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