Lead Quantitative Analytics Specialist (#001756)

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

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.