Senior Quantitative Analytics Specialist, Wells Fargo

Wells Fargo

Location:
India, Bengaluru

Category:
Finance

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Senior Quantitative Analytics Specialist role at Wells Fargo focusing on Model Risk Management (MRM) in a fast-paced environment with changing policies and technologies. The role involves performing model validations, assessing model performance, and writing detailed analytical reports to ensure compliance with governance policies and regulations.

Job Responsibility:

Perform highly complex activities related to creation, implementation, and documentation
Use highly complex statistical theory to quantify, analyze and manage markets
Forecast losses and compute capital requirements providing insights regarding business initiatives
Utilize structured securities and provide expertise on theory and mathematics behind the data
Manage market, credit, and operational risks to forecast losses and compute capital requirements
Participate in discussion related to analytical strategies, modeling and forecasting methods
Identify structure to influence global assessments including technical, audit and market perspectives
Collaborate and consult with regulators, auditors and technically oriented individuals

Requirements:

4+ years of Quantitative Analytics experience or equivalent through work experience, training, military experience, or education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Proven experience as Model Validator/Model Developer in the industry
Strong understanding of Balance Forecasting models/Loss forecasting models/PPNR/fee models/Econometric models
Excellent business understanding especially the Wholesale/Commercial portfolio (Banks, Corporate, Real estate, Specialized lending)
Deep understanding of how different economic factors interact and how theoretical models translate into mathematical equations
Well versed with concepts like Estimation, Backtesting, sensitivity, Shock/Scenario creation, Pandemic data management, coefficient stability analysis
Proven experience using techniques like Time Series Forecasting, Regression, Machine learning
Well versed in credit risk model validation/development of models (PD, LGD and EAD, LGD models, stress tests) for credit portfolio
Skill to apply regulatory requirements outlined in SR11-7, CCAR CECL/IFRS9, and other regulations
Ability to develop comprehensive technical documentation including Validation reports, Model risk findings, Regulatory compliance documentation
Hands on experience with Python, Pyspark and related libraries and code development skills (e.g., Python, Pyspark, Pyfarm)
Experience in performing model validations and clearly documenting evidence of validation activities
4-8 years of experience with minimum Masters in a quantitative field

Nice to have:

Exposure to Banking Book
Deep domain knowledge and advanced technical skills to drive sophisticated Credit risk validation initiatives across Commercial portfolio
Experience communicating model risk findings and limitations to key stakeholders

Additional Information:

Job Posted:
September 08, 2025

Expiration:
September 18, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Quantitative Analytics Specialist