Treasury - Lead Quantitative Model Solutions Specialist

Wells Fargo • Charlotte, NC

20h • Hybrid

About The Position

Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist to work in Treasury. The role drives Treasury model re-engineering, analytical workflow modernization, and applied AI enablement. It combines cross-Treasury expertise in balance sheet management, liquidity, and funding with hands-on quantitative engineering to build modular, reusable analytical capabilities.

The position leads complex model maintenance, optimization, and planning initiatives involving operational processes, controls, reporting, testing, implementation, and documentation. It evaluates multifaceted model operations challenges, develops strategies for short- and long-term objectives, and supports business initiatives. The role makes decisions in complex situations requiring an understanding of agile development and influences global model maintenance schedules in accordance with the System Development Life Cycle, quality, security, and compliance requirements.

The position is based at Wells Fargo's 401 S. Tryon Street Charlotte, NC (Brigham) location and offers a hybrid work schedule. Relocation assistance and visa sponsorship are not available. Specific compliance policies may apply to outside activities and personal investing.

Requirements

• 5+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
• Strong cross-Treasury understanding of balance sheet management, liquidity risk, and funding, including their interdependencies and relevant governance requirements.
• Ability to translate business needs into technical specifications, communicate analytical results, and collaborate across domain and technology teams.

Nice To Haves

• 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.
• 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.
• Experience with AI agents, retrieval-augmented generation, tool integrations, reusable AI skills, and evidence-based evaluation of AI outputs.
• Experience with metadata platforms, workflow orchestration, cloud or containerized deployment, analytical interfaces, and financial market data APIs.

Responsibilities

• Apply Treasury domain expertise to prioritize opportunities across balance sheet, liquidity, and funding, and 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, multifaceted model operations and optimization challenges requiring in-depth evaluation of multiple factors, including intangible 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 multifaceted situations requiring a solid understanding of agile development.
• Influence global assessment of model maintenance schedules, including engineering, structure, and scope of review, following the System Development Life Cycle process and quality, security, and compliance requirements.
• Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed