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Lead Quantitative Model Solutions Specialist

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India, Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist. This role involves leading complex model operations, optimization challenges, and developing strategies while meeting regulatory compliance and adhering to organizational goals.

Job Responsibility:

  • 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
  • develop model processes and optimization strategies for short- and long-term objectives
  • make decisions in complex and multi-faceted situations
  • influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process
  • strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
  • lead and perform various complex activities related to model implementation, production, and model analytics
  • provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models
  • development of regulatory credit risk models
  • migration of existing development/implementation codes from SAS to Python with thorough testing and UAT
  • work closely with team to understand and enhance the data and modeling process behind existing models
  • adhere to audit and model validation governance
  • support ad-hoc analytic projects

Requirements:

  • 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
  • overall experience of 5-14 years in Risk Analytics
  • degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
  • 5+ years of predictive modeling experience
  • good understanding of model development and model testing
  • proficient in statistical analysis
  • good problem solving and analytical skills
  • 2+ years of hands-on experience in Python and SQL
  • 1+ years of experience in SAS
  • good written and oral communication skills
  • ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
  • detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
  • understanding of bank regulatory data sets and other industry data sources
  • ability to research and report on a variety of issues using problem solving skills
  • ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment

Additional Information:

Job Posted:
September 23, 2025

Expiration:
September 23, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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