job summary:
Job Summary / Purpose:
Lead Quantitative Model Solutions Specialist supporting Treasury. This person will drive Treasury model re-engineering, analytical workflow modernization, and applied AI enablement, combining cross-Treasury expertise in balance sheet management, liquidity, and funding with hands-on quantitative engineering to build modular, reusable analytical capabilities.
Duties & Responsibilities:
- 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.
- Develop model processes and optimization strategies for short- and long-term objectives.
- Follow 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.
Working Conditions: Hybrid schedule, 401 S. Tryon Street, Charlotte, NC.
location: Charlotte, North Carolina
job type: Contract
salary: $68.75 - 78.00 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Job Summary / Purpose:
Lead Quantitative Model Solutions Specialist supporting Treasury. This person will drive Treasury model re-engineering, analytical workflow modernization, and applied AI enablement, combining cross-Treasury expertise in balance sheet management, liquidity, and funding with hands-on quantitative engineering to build modular, reusable analytical capabilities.
Duties & Responsibilities:
- 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.
- Develop model processes and optimization strategies for short- and long-term objectives.
- Follow 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.
Working Conditions: Hybrid schedule, 401 S. Tryon Street, Charlotte, NC.
Required Skills:
Years of Experience Required: 5+ years of quantitative model solutions or quantitative model operations experience, or equivalent (work experience, training, military experience, education)
Top Skills: Treasury model re-engineering; building modular, parameterized models in Python; automating data preparation, execution, and downstream analytics
Cultural/Soft Skills: Strategic collaboration with peers, colleagues, and managers; decision-making in complex, multi-faceted situations; translating business needs into technical solutions
Software (IT): Python or other appropriate programming languages; AI-assisted engineering tools (code discovery, refactoring, testing, documentation)
Specific Education/License Requirements: An advanced degree is not required
Preferred Qualifications: See Section 5 (Desired Skills)
Day to Day Operations: Re-engineer legacy models, build regression tests and reconciliation evidence, develop reusable frameworks/APIs, and deliver code, documentation, and implementation handoffs
Environment: Agile (solid understanding of agile development; follows SDLC)
Preferred Industry Experience: Banking/financial services Treasury - balance sheet management, liquidity, and funding
Desired Skills:
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
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
Desired Skills:
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
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
qualifications:
Job Summary / Purpose:
Lead Quantitative Model Solutions Specialist supporting Treasury. This person will drive Treasury model re-engineering, analytical workflow modernization, and applied AI enablement, combining cross-Treasury expertise in balance sheet management, liquidity, and funding with hands-on quantitative engineering to build modular, reusable analytical capabilities.
Duties & Responsibilities:
- 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,
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