At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo's more than 70 million global customers.
Wells Fargo Bank N.A. seeks a Lead Quantitative Analytics Specialist in New York, NY.
Job Role and 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, with the expertise in the theory and mathematics behind the 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 and act as key participant to develop and document analytical models. Collaborate and consult with regulators and auditors. Present results of analysis and strategies. Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions. Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs. Adhere to corporate model risk policy and ensure compliance with model risk management. Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Work with AI technology and production teams to operationalize models. Work effectively in an agile project management methodologies for data science. Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms. Contribute to the CoE data science team's group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. Remote/telecommute work available, up to 2 days a week. Position required to appear in person at the location listed as the work address.
Travel required: 0%
Required Qualifications:
Degree required: Master's degree in Civil Engineering, Mathematics, Statistics, or related quantitative field.
Amount and type of experience required: Five (5) years of experience in the job offered or in a relation position involving quantitative analytics experience.
Specific skills required:
• Five (5) years of statistical modeling experience;
• Experience with Machine Learning;
• Experience with Natural Language Processing (NLP);
• Experience with Python;
• Experience with Spark;
• Experience with SQL; and
• Hadoop/Big Data experience.
Salary: $191,000 - $305,000
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.
Posting End Date:
6 Jul 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.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo's more than 70 million global customers.
Wells Fargo Bank N.A. seeks a Lead Quantitative Analytics Specialist in New York, NY.
Job Role and 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, with the expertise in the theory and mathematics behind the 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 and act as key participant to develop and document analytical models. Collaborate and consult with regulators and auditors. Present results of analysis and strategies. Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions. Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs. Adhere to corporate model risk policy and ensure compliance with model risk management. Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Work with AI technology and production teams to operationalize models. Work effectively in an agile project management methodologies for data science. Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms. Contribute to the CoE data science team's group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions. Remote/telecommute work available, up to 2 days a week. Position required to appear in person at the location listed as the work address.
Travel required: 0%
Required Qualifications:
Degree required: Master's degree in Civil Engineering, Mathematics, Statistics, or related quantitative field.
Amount and type of experience required: Five (5) years of experience in the job offered or in a relation position involving quantitative analytics experience.
Specific skills required:
• Five (5) years of statistical modeling experience;
• Experience with Machine Learning;
• Experience with Natural Language Processing (NLP);
• Experience with Python;
• Experience with Spark;
• Experience with SQL; and
• Hadoop/Big Data experience.
Salary: $191,000 - $305,000
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:
6 Jul 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.
Similar Jobs at Wells Fargo
Fintech • Financial Services
Serve customers at a branch by opening and managing accounts, processing transactions, cross-selling banking products, resolving client issues, and achieving sales and service goals.
Fintech • Financial Services
The Branch Operations Coordinator is responsible for supporting daily operations, ensuring efficient processes, and providing excellent service to clients. Responsibilities include coordinating schedules, managing documentation, and assisting with various administrative tasks to enhance branch functionality.
Fintech • Financial Services
Solicit and originate residential jumbo mortgages for affluent clients, build referral relationships, analyze credit and financial data, advise customers on mortgage products and underwriting requirements, ensure compliance with SAFE and Regulation Z, and maintain high customer service and market visibility.
Top Skills:
MS OfficeNmls
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
