Lead Quantitative Analytics Specialist, Wells Fargo

Wells Fargo

Location:
India, Bengaluru

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory, qualify monitor markets and forecast credit and operational risks, and provide analytical support for business initiatives.

Job Responsibility:

Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
Qualify monitor markets and forecast credit and operational risks
Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
Utilize stochastic, structured securities, spread analysis
Review and assess models inclusive of technical, audit, and market perspectives
Identify structure and scope of review
Enable decision making for product and marketing with broad impact
Collaborate and consult with regulators and auditors
Present results of analysis and strategies
Development of regulatory Credit risk models including CCAR, CECL and IFRS
RRP Valuation, and PPNR models for Commercial portfolio
Work closely with team to understand and enhance the data and modeling process
Underlying portfolio data research and analytics
Adhere to audit and model validation governance
Support ad-hoc analytic projects

Requirements:

5+ years of Quantitative Analytics experience
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
7+ years of Predictive modeling experience
Good understanding of model development and model testing
Proficient in statistical analysis
Good Problem Solving and Analytical Skills
2+ years of hands-on experience in Python and SQL
1+ years of experience in SAS
Good Written and Oral Communication Skills
Ability to prioritize work, meet deadlines, achieve goals and work under pressure
Detail oriented, results driven
Understanding of bank regulatory data sets and other industry data sources
Exposure to banking domain with strong functional knowledge in Credit Risk area on Retail/Commercial portfolio

Nice to have:

Overall experience of 8-14 years in Risk Analytics
Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Ability to research and report on a variety of issues using problem solving skills
Ability to interact with integrity and a high level of professionalism with all levels of team members and management
Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment

Additional Information:

Job Posted:
September 21, 2025

Expiration:
September 22, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Lead Quantitative Analytics Specialist