About this role:
Wells Fargo is seeking a Quantitative Analytics Specialist.
In this role, you will:
- Develop, implement, and calibrate various analytical models
- Perform highly complex activities related to financial products, business analysis and modeling
- Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
- Perform analytical support and provide insights regarding a wide array of business initiatives
- Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
- Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals
- 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
- 2+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops
- Strong problem-solving skills
- 2-5 years of advanced programming and debugging skills in Python - OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling, JIT compilers
- 2+ years of experience in High performance computing, Big Data and real time solutions - PySpark, MapR streaming, parallel processing, real time optimization.
- 2+ years of experience in unit testing, UAT testing, regression testing and code review
- Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands
- Excellent verbal, written, and interpersonal communication skills
- Participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
- Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
- Work on moderately complex model optimization and processes strategies
- Collaborate to resolve moderately complex issues and work with team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
- Collaborate and consult with seniors, colleagues, and managers to resolve issues and achieve goals
- Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment
- Identify opportunities and deliver process improvements, standardization, rationalization and automations
1 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.
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.
Skills Required
- 2+ years of Quantitative Analytics experience
- Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
- Experience developing and using statistical and mathematical models with Python, R, SAS, C++ and SQL
- Experience with machine learning model development, implementation, or ML Ops
- Advanced Python programming and debugging skills (OOP, packaging, deployment, data structures, algorithms)
- Experience with high performance computing, Big Data and real-time solutions (PySpark, MapR streaming, parallel processing)
- Experience with unit testing, UAT, regression testing and code review
- Familiarity with Git, GitHub, CI/CD pipelines and UNIX commands
- Strong problem-solving and communication skills
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
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