Senior Quantitative Model Solutions Specialist
Wells FargoThis role is no longer listed. Wells Fargo took the posting down on Sep 24, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, metro location, and mid-level quant role drive high candidate competition.
Specialized credit risk and regulatory modeling require domain-specific financial risk experience, limiting cross-industry transferability.
Explicit 4+ years quantitative experience, advanced Python and regulatory modeling requirements enforce high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead creation, implementation, and documentation of complex quantitative models related to market, credit, and operational risks.
Forecast losses and compute capital requirements using advanced statistical theory to support business initiatives and regulatory compliance.
Collaborate with regulators, auditors, and technical teams to influence global risk assessments and analytical strategies.
Minimum Requirements
4+ years of Quantitative Analytics experience or equivalent via work experience, training, military, or education.
Master's degree or higher in quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
Experience with advanced programming in Python, PySpark, and model deployment frameworks, especially related to credit risk modeling and regulatory models (CCAR, CECL, IFRS).
Work Experience Required: 4+ years in quantitative analytics and relevant programming/modeling experience.
Ideal Candidate Profile
Experienced in development, implementation, monitoring, and analytics of credit risk models including regulatory models (CCAR, CECL, IFRS).
Comfortable managing documentation and project priorities in dynamic, high-pressure environments.
Skilled at collaborating with business units, regulators, auditors, and technical peers to drive risk strategy and governance.