Selected work
Finance systems experience, applied to real operating problems.
These engagements show the treasury, technology, data, and implementation foundation behind GTP’s current work in financial models, analytics, and AI.
Credit risk models and applied data science
Proprietary Credit Scoring Model
A purpose-built scoring model converted financial and credit data into explainable lending signals and substantially outperformed existing decision models in testing.
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Financial data engineering and analytics
Snowflake Data & Reporting Transformation
Data originating across 100+ SQL Server databases was transformed into performant Snowflake reporting structures with CDC-aware point-in-time logic and an analytical foundation for data science.
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Treasury data and systems
Cash Forecast Consolidation
A practical consolidation architecture standardized fragmented forecast sources for import into an existing treasury management system.
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Finance technology readiness
Payment Services Assessment
An enterprise-wide assessment mapped payment services, connections, reporting files, dependencies, and future-state requirements ahead of TMS implementation.
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Treasury systems implementation
Debt Implementation Plan
GTP assessed complex debt, derivatives, collateral, and internal funding requirements and designed an interim path into the production TMS.
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Finance systems integration
Accounting Module Integration
Treasury, accounting, operations, and IT requirements were translated into an integrated TMS accounting process and structured delivery plan.
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Treasury analytics and workflow
Advanced Cash Position
Interactive cash-position views gave a fintech organization more flexible entity aggregation, payment drilldown, and liquidity analysis within its TMS.
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We map the problem, the data, and the implementation path.