Senior Quantitative Analytics Specialist, Wells Fargo

Senior Quantitative Analytics Specialist

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 in the Decision Science and Artificial Intelligence (DSAI) Validation team within CMoR, responsible for validating and approving various AI/ML models including marketing, credit scoring, financial crimes, and fair lending 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 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, inclusive of technical, audit and market perspectives
Collaborate and consult with regulators, auditors and technically oriented individuals
Validate and approve marketing, retail credit scoring, commercial credit scoring, financial crimes, fair lending, and other artificial intelligence and machine-learning models

Requirements:

4+ years of Quantitative Analytics experience, or equivalent demonstrated 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
Deep academic knowledge and broad-based approach to solutioning business problems
Ability to think outside the box and provide ensemble solutions
Excellent communication skills
Ability to collaborate with technically oriented individuals

Additional Information:

Job Posted:
October 04, 2025

Expiration:
October 06, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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