Treasury - Lead Quantitative Model Solutions Specialist
Wells Fargo is hiring a Treasury - Lead Quantitative Model Solutions Specialist. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
- Tools and skills the posting cites include RAG and AI agents.
- Level classifies it as a lead role.
- Level lists 1,400+ other open roles at Wells Fargo.
- The role was posted in the last few days.
AI in this role
Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist to work in Treasury. This person will drive Treasury model re-engineering, analytical workflow modernization, and applied AI enablement. Combine cross-Treasury expertise in balance sheet management, liquidity, and funding with hands-on quantitative engineering to build modular, reusable analytical capabilities.
In this role, you will:
- Apply Treasury domain expertise to prioritize opportunities across balance sheet, liquidity, and funding; translate business mechanics and analytical needs into technical solutions.
- Re-engineer legacy models and workflows into modular, parameterized components using Python or other appropriate programming languages; automate data preparation, execution, and downstream analytics.
- Build benchmark datasets, regression tests, and reconciliation evidence; improve performance and support scenario analysis while distinguishing implementation changes from methodology changes.
- Develop reusable model frameworks, metadata, lineage, business context, APIs, and tools that support governed analytics and AI workflows.
- Use AI-assisted engineering for code discovery, refactoring, testing, and documentation; prototype and evaluate AI-assisted research, scenario analysis, and variance investigation.
- Deliver maintainable code, documentation, and implementation handoffs; partner on adoption, reusable engineering standards, and team enablement.
- Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
- Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
- Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives
- Make decisions in complex and multi-faceted situations requiring solid understanding of agile development
- Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements
- Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Required Qualifications:
- 5+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Strong cross-Treasury understanding of balance sheet management, liquidity risk, and funding, including their interdependencies and relevant governance requirements.
- 4+ years developing or implementing financial models or quantitative analytics, with experience modernizing existing systems and reconciling results.
- 4+ years building quantitative or analytical systems using Python or other programming languages; strong SQL, testing, version control, and software engineering skills.
- Demonstrated ability to apply quantitative methods to Treasury or financial analytics. An advanced degree is not required.
- Experience with modular design, data pipelines, model dependencies, and documentation; practical AI-assisted development experience with disciplined verification.
- Ability to translate business needs into technical specifications, communicate analytical results, and collaborate across domain and technology teams.
- Capital markets or trading experience connecting product economics, trading assets and liabilities, derivatives, secured financing, collateral, and margin to balance sheet usage, liquidity, funding, and capital implications.
- AI agents, retrieval-augmented generation, tool integrations, reusable AI skills, and evidence-based evaluation of AI outputs.
- Metadata platforms, workflow orchestration, cloud or containerized deployment, analytical interfaces, and financial market data APIs.
Job Expectations:
- This position offers a hybrid work schedule from our 401 S. Tryon Street Charlotte, NC (Brigham) location.
- Relocation assistance is not available for this position.
- This position is not eligible for Visa sponsorship.
Specific compliance policies may apply regarding outside activities and/or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.
Posting End Date:
1 Nov 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.
How we rate this
Treasury - Lead Quantitative Model Solutions Specialist at Wells Fargo rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $106k
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