Senior Quantitative Analytics Specialist, Wells Fargo

Wells Fargo

Location:
India, Bengaluru

Category:
Finance

Contract Type:
Employment contract

Salary:

Not provided

Save Job

Apply Position

Job Description:

Senior Quantitative Analytics Specialist role at Wells Fargo focusing on Model Risk Management. The position involves performing complex quantitative analytics, model validation, risk assessment, and compliance with regulatory requirements for commercial credit and corporate economic models.

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
Utilize structured securities and provide expertise on theory and mathematics behind the data
Manage market, credit, and operational risks
Participate in discussion related to analytical strategies, modeling and forecasting methods
Identify structure to influence global assessments
Collaborate and consult with regulators, auditors
Conduct model validations for Commercial Credit and Corporate Economic group
Focus on Model Risk Management as second line of defense

Requirements:

4+ years of Quantitative Analytics experience
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
Deep understanding on how different economic factors interact
Well versed with concepts like Estimation, Backtesting, sensitivity, Shock/Scenario creation
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)
Ability to apply regulatory requirements outlined in SR11-7, CCAR CECL/IFRS9
Ability to develop comprehensive technical documentation
Hands on experience on Python, Pyspark and related libraries
Code development skills (e.g., Python, Pyspark, Pyfarm)
Experience in performing model validations and clearly documenting evidence of validation activities

Nice to have:

Exposure to Banking Book is highly desirable
Deep domain knowledge and advanced technical skills to drive sophisticated Credit risk validation initiatives across Commercial portfolio
Understanding how theoretical model translated into a mathematical equation
Pandemic data management, coefficient stability analysis
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

View All Jobs In This Company

Job Link Share:

Senior Quantitative Analytics Specialist