Wells Fargo Lead Quantitative Model Solutions Specialist 

India, Karnataka, Bengaluru 

80647920

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:

• Excellent verbal, written, and interpersonal communication skills.
• Perform various complex activities related to predictive modeling.
• Provide analytical support for development, remediation, and monitoring of Deposit & PPNR, Operational, Liquidity Risk, Financial Crimes models
• Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models
• Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance
• Identify opportunities and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes
• Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of control
• Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
• Possess an execution-driven mindset to hold team accountable for results. Sets clear goals and follows up on progress.
• User-focused mindset with the intent to solve forecasting and risk problems rather than solely focusing on technical purity.
• Familiarity with Deposit modeling, income & expense modeling, Funds Transfer Pricing, Stress Testing, and Forecast/Planning
• Familiarity with programming in Python, SAS, R, and SQL.
• Familiar with modeling techniques such as regularization (e.g. LASSO), Error-correction models, ARIMA, discrete-time survival models, and Panel regressions.
• Experience with model risk management policies and procedures
• Experience working with US regulations, in particular the OCC and FRB
• Familiar with concepts/theory behind money creation and demand
• Conceptual understanding of interest rate and yields curve models

Job Expectations:

• 5+ years of experienceRisk Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in credit risk modeling and analytics
• 5+ years of advanced programming expertise in SAS or Python or R
• Strong documentation capabilities
• 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

30 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.