Senior Quantitative Analytics Specialist

4 days ago


Bengaluru, Karnataka, India WELLS FARGO BANK Full time
About Wells Fargo

Wells Fargo & Company is a leading global financial services company headquartered in San Francisco. Our business outside of the U.S. focuses on providing banking services for large corporate, government, and financial institution clients. We have worldwide expertise and services to help our customers improve earnings, manage risk, and develop opportunities in the global marketplace.

Consumer and Small Business Banking

Consumer and Small Business Banking (CSBB) provides financial services to 21 million retail bank households and three million small business customers through approximately 4,500 retail branches, 17 customer service centers, and approximately 13,000 ATMs in 36 states and the District of Columbia. We serve and help individuals and families in many aspects of their lives, helping them buy homes, open first bank and savings accounts, buy cars to get to and from work or school, and start or grow small businesses.

Consumer Data, Analytics & AI

The Consumer Data, Analytics & AI (CDAI) group works across the Consumer & Small Business Banking (CSBB), Consumer Lending, and Wealth and Investment Management lines of business to develop coordinated strategies for growth in each of Wells Fargo's customer segments. CDAI's mission is to enable consumer growth through data-driven insights, enhance the use of data science & AI in driving business decisions, and build a foundation of solid data.

Key Responsibilities
  • Perform highly complex activities related to model development, implementation, and documentation
  • Work individually or as part of a team on multiple data science projects and work closely with business partners across the organization
  • Perform various complex activities related to statistical/machine learning
  • Provide analytical support for developing, evaluating, implementing, monitoring, and executing models across business verticals using emerging technologies
  • Establish a consistent and collaborative framework with the business and act as a primary point of contact in delivering solutions
  • Experience in building quick prototypes to check feasibility and value to business
  • Expert in developing and maintaining modular code-base for reusability
  • Review and validate models and help improve the performance of the model under the preview of the banking regulations
  • Work closely with technology teams to deploy the models to production
  • Prepare detailed documentations for projects for both internal and external that complies regulatory and internal audit requirements
Requirements
  • 5 - 8 years of relevant hands-on experience in AI/ML model development and implementation
  • Bachelor's/master's degree in engineering field like computer science, information technology, electrical engineering, etc.
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


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