Scoped Python Automation for Financial Data Tasks by Jason AielloScoped Python Automation for Financial Data Tasks by Jason Aiello
Scoped Python Automation for Financial Data TasksJason Aiello
Cover image for Scoped Python Automation for Financial Data Tasks
Reduce repetitive Excel/CSV and file-processing work through clearly scoped Python automation managed with AI assistance, testing, setup notes and human review. Primary use cases are financial data validation, reconciliation checks, reporting preparation and document/file processing. We establish inputs, volumes, business rules, output format and acceptance tests before starting. This is an offered delivery process, not programming employment tenure.
My background: 25+ years in finance, 12 years in management, 25+ years using Excel, 20+ years using Salesforce and 3 years using AI tools. Consolidated Financial Services Experience: Banks & Financial Institutions (multiple employers), 2001–2026. My financial-institution background includes Wells Fargo, JPMorgan Chase, Washington Mutual and Citibank, along with other financial-services organizations. Grouping dates do not represent individual tenure at each institution. SCA Capital Inc. — Owner/Founder, June 2019–Present, with legitimate overlap.
Supporting portfolio demonstrations use synthetic financial documents and prewritten responses to show discrepancy review, cash-flow calculations and manual rubric comparison. Offline arithmetic/fixture checks verified locally. These are illustrative demonstrations, not paid AI evaluation engagements, client results, live-model benchmarks or production deployments.
Rates: $100/hour baseline; specialized financial work and appropriately scoped complex automation $125–$175/hour. Fixed quotes require agreed deliverables, inputs, review criteria, testing and acceptance checks. Existing submitted proposal/contract terms remain unchanged.
Contact for pricing
Duration1 week
Tags
Python
Service provided by
Jason Aiello Coconut Creek, USA
Scoped Python Automation for Financial Data TasksJason Aiello
Contact for pricing
Duration1 week
Tags
Python
Cover image for Scoped Python Automation for Financial Data Tasks
Reduce repetitive Excel/CSV and file-processing work through clearly scoped Python automation managed with AI assistance, testing, setup notes and human review. Primary use cases are financial data validation, reconciliation checks, reporting preparation and document/file processing. We establish inputs, volumes, business rules, output format and acceptance tests before starting. This is an offered delivery process, not programming employment tenure.
My background: 25+ years in finance, 12 years in management, 25+ years using Excel, 20+ years using Salesforce and 3 years using AI tools. Consolidated Financial Services Experience: Banks & Financial Institutions (multiple employers), 2001–2026. My financial-institution background includes Wells Fargo, JPMorgan Chase, Washington Mutual and Citibank, along with other financial-services organizations. Grouping dates do not represent individual tenure at each institution. SCA Capital Inc. — Owner/Founder, June 2019–Present, with legitimate overlap.
Supporting portfolio demonstrations use synthetic financial documents and prewritten responses to show discrepancy review, cash-flow calculations and manual rubric comparison. Offline arithmetic/fixture checks verified locally. These are illustrative demonstrations, not paid AI evaluation engagements, client results, live-model benchmarks or production deployments.
Rates: $100/hour baseline; specialized financial work and appropriately scoped complex automation $125–$175/hour. Fixed quotes require agreed deliverables, inputs, review criteria, testing and acceptance checks. Existing submitted proposal/contract terms remain unchanged.
Contact for pricing