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Wells Fargo Lead Quantitative Model Solutions Specialist 
India, Karnataka, Bengaluru 
207420187

09.03.2025

Job Description


In this role, you will:

  • Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
  • Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
  • Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives
  • Make decisions in complex and multi-faceted situations requiring solid understanding of agile development
  • Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements
  • Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

  • 5+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • 2+ years of hands-on experience in Python and SQL
  • 5+ years of advanced programming and debugging skills in Python – OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling
  • 2+ years of experience in High performance computing, Big Data and real time solutions – PySpark, MapR streaming, parallel processing, real time optimization.
  • 2+ years of experience in unit testing, UAT testing, regression testing and code review
  • Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands
  • 1+ years of experience in SAS
  • Good Written and Oral Communication Skills
  • Strong ability to develop partnerships and collaborate with other business and functional areas
  • Knowledge and understanding of issues or change management processes
  • Experience determining root cause analysis

Job Expectations:

  • Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment
  • Support implementation of Python based solutions for real time and/or batch-based models for commercial banking
  • Identify opportunities and deliver process improvements, standardization, rationalization and automations
  • Migration of existingdevelopment/implementationcodes from SAS to Python with thorough testing and UAT
  • Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.
  • Lead complex model development projects independently and support multiple priorities
  • Perform various complex activities related to predictive modeling process enhancements and Python conversions
  • Work closely with team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/findings.
  • Underlying portfolio data research and analytics using strong programming skills
  • Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
  • Support ad-hoc analytic projects

9 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.