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Quantitative Model Solutions Manager

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Category:
Finance

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Contract Type:
Not provided

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Salary:

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Job Description:

Wells Fargo is seeking a Quantitative Model Solutions Manager.

Job Responsibility:

  • Manage and develop individual contributors with a focus on low to moderate complex model operational and optimization processes, controls, assumptions, metric development, reporting, and testing strategies to successfully drive effectiveness
  • Provide expertise regarding low to moderately complex strategies, synchronizing transformational and opportunity needs with pragmatic operational considerations
  • Make decisions and resolve issues regarding low to moderately complex model operations and optimization work to meet business objectives
  • interpret and develop policies, procedures, and standards
  • Identify and recommend design thinking, methodology, optimization, and processes related to low to moderately complex model operations, balancing modern technology and the regulatory climate
  • Utilize theoretical and mathematics to synthesize then communicate concepts into practical planning related to model maintenance and optimization
  • Collaborate with and consult with peers, colleagues, and multiple level managers
  • Manage allocation of people and financial resources for Quantitative Model Solutions
  • Mentor and guide talent development of direct reports and assist in hiring talent
  • Manage a team responsible for Credit Risk model monitoring, implementation and forecasting for Retail Unsecured portfolio
  • Manage multiple stakeholders and relationships for different engagements of the team
  • Lead the remediation of model risk findings and establish strong process controls & governance related to monitoring and model production
  • Lead large-scale projects related to implementation, execution and monitoring of CECL, IFRS9, Basel and CCAR stress testing models
  • Lead and perform various complex activities related to predictive modeling. Provide analytical support for developing, evaluating, implementing, monitoring and executing credit and PPNR models across Retail Unsecured business verticals
  • Guide the team in developing dynamic dashboards
  • analyze key risk parameters to help understand changes in business and model performance
  • Identify opportunities for strategic and infrastructure projects. Design and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes

Requirements:

  • 4+ 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
  • 2+ years of leadership experience
  • 4+ years of overall experience with 2+ years of leadership experience
  • Bachelors degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
  • 4+ years of experience in credit risk analytics or credit risk modeling/monitoring role
  • Advanced programming skills in Python, SAS and SQL
  • Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding
  • Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Excellent verbal, written, and interpersonal 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 in regulatory models for CCAR Stress testing, CECL, IFRS9, RRP, and Basel
  • Strong understanding of Retail Unsecured business
  • Ability to systematically probe, research, identify and analyze business problems using problem solving skills
  • Ability to lead high performing advanced quantitative analytics teams and stakeholder management
  • 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
  • Flexibility with changing priorities
  • Knowledge of SR 15-18 and SR 11-7 guidelines

Additional Information:

Job Posted:
March 04, 2026

Expiration:
March 08, 2026

Employment Type:
Fulltime
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