Wells Fargo Data Science Consultant 

India, Karnataka, Bengaluru 

305065595

In this role, you will:

• Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations
• Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations
• Exercise independent judgment to guide medium risk business hypothesis generation
• Present recommendations and insights for resolving low to moderately complex business needs and problems; exercise independent judgment while developing an expertise in analytic capabilities
• Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns
• Conduct low to moderately complex predictive analytics to build actionable insights and recommendations
• Design and apply algorithms to mine large sets of structured and unstructured data from various sources
• Ensure data completeness, accuracy, and uniformity through cleaning and validation
• Interpret and analyze data, using advanced analytics modeling methods and programming, to isolate patterns that lead to recommendations to solve problems and influence business decisions and strategies

Required Qualifications:

• 2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Experience in one or a combination of the following: reporting, analytics, or predictive modeling with at least 2 years of modelling experience or theoretical knowledge.
• Strong analytical skills with high attention to detail and accuracy.
• Model development or model monitoring experience.
• SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience.
• Demonstrated experience with statistical modelling techniques and AI-ML techniques.
• Ability to create documentation of process flows, business analysis and metadata.
• Experience in Financial services or knowledge of consumer/retail financial products.
• Knowledge and understanding of fraud detection process in banking.
• Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously.
• Possesses a strong work ethic and thrives in a collaborative team environment.
• Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills.
• Engage with cross culture team members and stake holders.
• Experience working on BI Tools like QlikView or Tableau.
• Experience with MS Office Suite (PowerPoint, Excel, Word)
• End-to-End model monitoring of fraud models.
• Support annual model review and (re)validation efforts.
• Support model implementation, monitoring, and documentation.
• Provide analytical support for different types of fraud identification and prevention strategies.
• Perform ad-hoc analysis to understand portfolio trends and develop actionable solutions.
• Support analysis and development of strategies, methods, and other fraud- related projects.
• Establish mechanisms to manage and mitigate fraud risks for all portfolios.
• Mentors junior Team Members.
• Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration.

31 Mar 2025

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.