
Leading company in the financial services industry
Senior Lead Quantitative Analytics Specialist - Market Risk Capital Model Architecture (GenAI/Python) at Wells Fargo
About the role
About this role:
Wells Fargo is seeking a Wells Fargo is seeking a Senior Quantitative Analytics Specialist (Executive Director) to fill an individual contributor role within the (MCRA) Market and Counterparty Risk Analytics Model Architecture team. This team acts as a subject matter expert to model owners for ensuring market risk policy compliance and advises on industry best practices, modeling methodologies, choices, and assumptions.
In this role, you will:
-
Ensure Capital Model Regulatory Compliance
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Support and lead Assessment and Design of Modeling Requirements
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Assess key model risks and associated modeling impacts
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Use AI to build analytical tools for model owner support and risk analysis
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Support and lead model calibration operations
Required Qualifications:
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7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
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PhD or master's degree in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field
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Strong knowledge and understanding of Trading products and financial modeling
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Design and lead experiments for Gen
AI and Agentic AI use cases:
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Advanced proficiency in Python, VS code, Github Copilot, and MCP
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Excellent verbal, written, and interpersonal communication skills
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Strong time management skills and ability to meet deadlines
Job Expectations:
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Willingness to work on-site at stated location on the job opening
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This position currently offers a hybrid work schedule
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This position is subject to FINRA Background Screening Requirements, including successful completion and clearing of a background check. Internal transfers are subject to comply with 17 CFR 240.17f-2 of the Securities Exchange Act of 1934 and FINRA Bylaws, Article III, Section 3, which states that Associated Persons should not be subject to statutory disqualification. Successful candidates must also meet ongoing regulatory requirements including additional screening and are required to report certain incidents
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Specific compliance policies may apply regarding outside activities and/or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process
Job Posting Locations:
- 550 S Tryon St, Charlotte, NC
Posting End Date:
17 May 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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.
Required skills
Quantitative analytics
Market risk
Capital modeling
Python
Financial modeling
Model risk
Regulatory compliance
GenAI
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About Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
Employees
San Francisco
Headquarters
$163B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
3.9
Career
3.1
Management
3.4
72%
Recommend to a friend
Pros
Good benefits and health coverage
Flexible schedules and work arrangements
Supportive team environment
Cons
Limited career advancement opportunities
High stress and overwhelming workload
Poor management and lack of direction
Salary Ranges
16 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist L1
0 reports
$128,533
total per year
Base
-
Stock
-
Bonus
-
$109,253
$147,813
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer rate
25%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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