Enterprise Fintech AI Workflow and Automated Risk Intelligence Platform
Budget / Salary$250–750
TypeFreelance project
LocationRemote
Posted1 hour ago
Enterprise Fintech AI Workflow and Automated Risk Intelligence Platform
Project Overview:
We are seeking an expert AI Systems Architect and Automation Engineer to design, build, and
deploy a comprehensive, production-grade automated risk assessment and customer onboarding
engine for a high-growth fintech enterprise.
The primary objective of this project is to replace manual compliance, document verification,
and transactional risk-scoring bottlenecks with a fully autonomous processing pipeline. The
system will ingest user onboarding files, execute real-time credit and fraud verification checks
via third-party financial APIs, process unstructured financial statements utilizing LLMs, and
route qualified profiles into an executive Power BI KPI dashboard while instantly alerting
compliance officers via Slack and CRM updates.
Project Requirements:
- Intelligent Data Ingestion & ETL Pipelines: Build automated web scraping and data extraction
pipelines to aggregate market compliance data and transactional parameters, while setting up
secure webhook listeners and API connectors to ingest client onboarding forms and financial
documents instantly.
- AI-Powered Risk Analysis & Decision Engine: Integrate advanced Large Language Models
via API (OpenAI, Claude) to parse unstructured financial audits, balance sheets, and tax returns,
alongside developing automated data processing scripts using Python to clean, structure, and
evaluate incoming numerical data against institutional risk matrices.
- Cross-Platform Workflow Automation: Implement multi-step automated workflows using n8n
and Make.com to orchestrate data movement securely between cloud databases, CRM
environments, and communication channels, configured with conditional routing logic that auto-
approves low-risk profiles while flagging anomalies for human review.
- Executive BI Dashboards & Reporting: Design an interactive, real-time Power BI and Tableau
executive dashboard displaying portfolio risk distribution, processing throughput, and
compliance bottlenecks, and configure automated weekly summary reports delivered directly to
executive stakeholders.
Project Overview:
We are seeking an expert AI Systems Architect and Automation Engineer to design, build, and
deploy a comprehensive, production-grade automated risk assessment and customer onboarding
engine for a high-growth fintech enterprise.
The primary objective of this project is to replace manual compliance, document verification,
and transactional risk-scoring bottlenecks with a fully autonomous processing pipeline. The
system will ingest user onboarding files, execute real-time credit and fraud verification checks
via third-party financial APIs, process unstructured financial statements utilizing LLMs, and
route qualified profiles into an executive Power BI KPI dashboard while instantly alerting
compliance officers via Slack and CRM updates.
Project Requirements:
- Intelligent Data Ingestion & ETL Pipelines: Build automated web scraping and data extraction
pipelines to aggregate market compliance data and transactional parameters, while setting up
secure webhook listeners and API connectors to ingest client onboarding forms and financial
documents instantly.
- AI-Powered Risk Analysis & Decision Engine: Integrate advanced Large Language Models
via API (OpenAI, Claude) to parse unstructured financial audits, balance sheets, and tax returns,
alongside developing automated data processing scripts using Python to clean, structure, and
evaluate incoming numerical data against institutional risk matrices.
- Cross-Platform Workflow Automation: Implement multi-step automated workflows using n8n
and Make.com to orchestrate data movement securely between cloud databases, CRM
environments, and communication channels, configured with conditional routing logic that auto-
approves low-risk profiles while flagging anomalies for human review.
- Executive BI Dashboards & Reporting: Design an interactive, real-time Power BI and Tableau
executive dashboard displaying portfolio risk distribution, processing throughput, and
compliance bottlenecks, and configure automated weekly summary reports delivered directly to
executive stakeholders.
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