Quantitative Analytics Specialist (#001931 Multiple Positions Available)

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.
Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.
The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.
Wells Fargo Bank N.A. seeks a Quantitative Analytics Specialist (Multiple Positions Available) in Charlotte, NC.
Job Role and Responsibility:
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. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address. Multiple positions available.
Travel required: 0%
Required Qualifications:
Degree required: PhD in Physics, Mathematics, Engineering, Computer Science, or related field.
Amount and type of experience required: 2 years of quantitative analytics experience or equivalent, experience can be gained concurrently with graduate level education.
Specific skills required:
Specific skills required: • Advanced mathematical and statistical expertise; • Experience with stochastic calculus and probability theory; • Quantitative finance skills; • Strong understanding of Monte Carlo simulation and financial derivatives; • Experience with Programming and software development; • Expertise in Python and C++; and • Familiarity with big data frameworks and databases.
Posting End Date:
18 Jun 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.
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