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 Quantitative Analytics Specialist in San Francisco, CA.

Job Role and Responsibility:

Execute on data science projects, follow the analytic plan set by the technical lead, actively participating in the development, deployment, monitoring of the model. Learn the practice of data science and data engineering within the organization and help its furthering through bringing in relevant research ideas. Work with our internal data science teams throughout Enterprise Analytics & Data Science, and possibly with other analytics teams across the enterprise, to provide data transformation and data wrangling functions using cutting edge advanced analytics tools and methods. Help define the monitoring and maintenance plan for the model. Play a role in the following areas: development of the data pipeline leading into model training and scoring and development of the model operationalization pipeline. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.

Travel required:  0%

Required Qualifications:

Position requires a  Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative field.

Specific skills required:

Position requires experience in the following: Skills can be gained through work experience or graduate degree coursework.

•              Python or R experience with Machine Learning tools;

•              Data transformation and data wrangling experience, using tools such as SQL;

•              Exposure to quantitative machine learning techniques;

•              Development experience with languages like Python, Java, Scala, or R;

•              Solid understanding of machine learning techniques such as neural networks, random forest, GBM and SVM;

•              Exposure to big data tools like Spark, Hive, Kafka, and Map Reduce; and

•              Experience with machine learning libraries such as MLlib, scikit-learn, H2O.

Salary: $120,000 - $196,000

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 benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursement

Posting End Date:

20 Feb 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.