# Treasury - Lead Quantitative Model Solutions Specialist at Wells Fargo

Wells Fargo is hiring a Treasury - Lead Quantitative Model Solutions Specialist. Level rates it Little AI ●○○○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/4856584b-f1c8-4c62-b304-076be9577a45?utm_medium=ai-agent).

AI Level 1, AI centrality 37 out of 100. CHARLOTTE, NC.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 1 (score 37 out of 100)
- Location: CHARLOTTE, NC
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/4856584b-f1c8-4c62-b304-076be9577a45?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=treasury-lead-quantitative-model-solutions-specialist-at-wells-fargo-2afc25

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/treasury-lead-quantitative-model-solutions-specialist-at-wells-fargo-2afc25

## Description

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,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/treasury-lead-quantitative-model-solutions-specialist-at-wells-fargo-2afc25

Source: https://jobsbylevel.com/jobs/treasury-lead-quantitative-model-solutions-specialist-at-wells-fargo-2afc25

## Cite this page

Level. https://jobsbylevel.com/jobs/treasury-lead-quantitative-model-solutions-specialist-at-wells-fargo-2afc25.

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