Senior Quantitative Analytics Specialist (#001941)

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Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.
The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.
Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist (001941) in San Francisco, CA.
Job Role and 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 a wide array of 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 the 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 individuals that are technically oriented and have excellent communication skills. Remote / telecommute work available, up to 2 days per week. Position must appear in person to the location listed as the work address
Travel required: 0%
Required Qualifications:
Degree required: Master's degree in Business Analytics, Information Management, or related field.
Amount and type of experience required: Four (4) years of experience in the job offered or in a related position involving quantitative analytics experience.
Specific skills required:
• Programming languages used for statistical analysis and data programming including SAS, R, C++, Python, SQL, and MATLAB; • Analytical software like Hadoop and NoSQL; • Linux and Unix Operating Systems; • Predictive modeling using statistical and machine learning techniques; • Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning • Statistical model development/validation; • Documenting and presenting detailed model development and validation outcomes and results; • Utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing; • Application of analytical, statistical and forecasting methods with focus on the theory and mathematics behind the analyses; • Performing model validations and clearly documenting evidence of validation activities to identify conceptual weaknesses in a model and understand tradeoffs with alternate approaches; • Providing effective challenges to models developed in lines of business to reduce model risk to meet or exceed regulatory and industry standards; • Developing and validating a variety of statistical, machine learning and Artificial Intelligence (AI) models, including hazard models, logistic regression models, time series models, large-scale econometric models, and gradient boosting machines.
$167,000 - $260,000
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$0.00 - $0.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:
18 Jun 2026
* Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.