CIMD - Marcus by Goldman Sachs - Digital Storefront BD, Analytics & Marketing- VP - Bengaluru

Location(s) IN-Bengaluru
Job ID
Schedule Type
Full Time
Vice President/Executive Director
General, Quantitative Engineer
Consumer and Investment Management Division
Business Unit
Employment Type


Consumer and Investment Management (CIMD)


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.




Consumer, externally known as Marcus by Goldman Sachs, is comprised of the firm’s digitally-led consumer businesses, which include our deposits and lending businesses, as well as our personal financial management app, Clarity Money. Consumer combines the strength and heritage of a 150-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.



Responsibilities And Qualifications

Your Impact

In your role on the Fraud Strategy team for the US-based consumer businesses, you will be responsible for the design, development and execution of a comprehensive fraud strategy and supporting analytics and management reporting. The ideal candidate will be able to analyze fraud trends, develop fraud strategies and implement the fraud rules needed to address current as well as evolving fraud threats. Ideal candidate will have expertise in and passion for fraud prevention, as well as a passion for using 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. The candidate must be able to collaborate and influence across divisions to deliver enterprise fraud initiatives and have experience working with internal and external governance teams across the business including Customer Operations, Financial Crimes (AML), Compliance, Decision Sciences and Technology.


Job Summary and Responsibilities

  • Use a data-driven approach to develop and design fraud strategies and solutions
  • Develop and execute changes to the fraud strategy (requires proficiency in Java, R, Python or similar languages)
  • Review, evaluate and drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks
  • Establish the appropriate analytical environment and reporting to ensure comprehensive fraud coverage
  • Identify and develop process improvements/automation to maximize efficiency of fraud detection activities as required
  • Participate in data architecture decisions and partner with technology teams to implement strategies in production
  • Understand the systems and the business processes that populate the systems with data

Preferred Skills

  • Proficiency in Java, R or Python, SQL
  • Previous experience building fraud strategies
  • Advanced analytical/quantitative and deductive reasoning skills
  • Hands on, self-motivated, quick-learner, assertive and well organized
  • Ability to work independently, but still be a strong team player
  • Previous experience in automation, process optimization and increasing efficiency
  • Attention to details and excellent oral and written communication skills
  • Flexibility and ability to manage multiple projects
  • Decision sciences experience a plus
  • Experience with graph databases a plus
  • Big data experience a plus



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