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
- Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
- Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
- 1-3 years Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
- Knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.is desirable
- Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry is desirable
- Ability to multi-task and prioritize between projects
- Ability to work independently and as part of a team
- Working expertise in Tensorflow, Keras or Pytorch would be added advantage
- Working knowledge in developing end to end ML/AI pipeline in Apache Spark, Sparkling Waters, H2O, experience in working on LLMs. Exposer to Agentic AI frameworks.
- Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes large throughput of data
21 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 Quantitative Analytics experience
- Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
- Experience performing statistical and mathematical modeling using Python, R, SAS, C++ and SQL
- Ability to collaborate and consult with peers, managers, and regulators
- Ability to provide analytical support and business insights
- Master's degree or higher in a quantitative discipline
- 1-3 years Quantitative Analytics experience (desired)
- Demonstrated expertise in Generative AI, LLMs, and advanced NLP
- Knowledge of banking products (credit cards, mortgage, deposits, loans, wealth management)
- Knowledge of functional areas such as risk, marketing, operations or supply chain in banking
- Working expertise in TensorFlow, Keras or PyTorch
- Experience developing end-to-end ML/AI pipelines in Apache Spark, Sparkling Waters, H2O; experience with LLMs and Agentic AI frameworks
- Ability to work with Data Engineers to discover and optimize AI/ML pipeline bottlenecks for real-time applications
- Ability to multi-task, prioritize projects, and work independently or in a team
Wells Fargo Compensation & Benefits Highlights
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Healthcare Strength — Health coverage begins on day 1 with medical, dental, and vision, and includes mental health, prescription drugs, and preventive care often covered at 100% in-network. Well-being resources such as 24-hour clinical support and an Employee Assistance Program add to the breadth.
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Parental & Family Support — Paid parental leave provides up to 16 weeks for a primary caregiver (4 weeks for non-primary) alongside fertility benefits and up to a $35,000 lifetime reimbursement for adoption, surrogacy, and donor expenses. Backup child and adult care further supports family needs.
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Retirement Support — Retirement benefits feature a 401(k) with company matching contributions up to 6% of eligible pay. An employee stock purchase plan adds another avenue for long-term savings.
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 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 continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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