Wells Fargo Quantitative Analytics Specialist - Model Validation 

India, Karnataka, Bengaluru 

303542706

In this role, you will:

• Develop, implement, and calibrate various analytical models
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals.

Required Qualifications:

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

Desired Qualifications:

• The Model Validator is responsible for completion of high-quality model validations to support business activities in the following areas: Treasury, Capital, Liquidity, Operational, Pre-Provision Net Revenue (PPNR), Finance, Asset-Liability Management, Balance Sheet, Business Planning, including Stress Testing (DFAST/CCAR) and Recovery and Resolution Planning (RRP) as applicable
• Execute the Validation processes based on model risk supervisory guidance, Model Risk Management Policy and procedures, and current industry best-practices in one or more of the above-named areas. In particular:
  • Ensure credible challenge of models through validation process
  • Evaluate all relevant components of models and assess model soundness across lifecycle
  • Identify areas of weakness and work with model owners, risk partners, and other key stakeholders to ensure risk commensurate remediation
  • Demonstrate strong knowledge of subject matter area of focus, as well as sound validation and analysis techniques
  • Deliver high quality and timely validation reports combining intellectual rigor, analytical depth, and key model risk perspective
  • Support timely resolution of model weaknesses
• Follow reporting and escalation protocols of review results and follow up on identified risks/observations
• Good experience in Python .
• Exposure to Balance sheet Models, Risk Rank Models, Qualitative experience preferred.
• Hands on modeldevelopment/validationexperience by using some of the quantitative methodologies including time series, logistic regression, linear programing and some of the tree technologies such as GBM, Random Forest , etc.
• Continually work to improve efficiency, consistency, and quality of independent model validation
• Ensure all models within scope are independently validated per expected standards and schedule
• 2+ years of practical quantitative programming experience with SAS, SQL, Python, R and comfortable working with large datasets.
• Build and maintain effective working relationships with key partners and stakeholders across Wells Fargo
• Understand model risk supervisory guidance, Model Risk Management Policy, and current industry best-practices.

Job Expectations:

• A PhD in statistics, mathematics, engineering, computer science, economics, or quantitative field; or a Master s degree in the above areas with 2+ years of experience in one or a combination of the previously mentioned fields above.
• Shift Timings: 1:30 PM to 10:30 PM

26 Feb 2025

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Wells Fargo Recruitment and Hiring Requirements:

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