Head of Fund Analytics and Automation

Build and operate the credit fund’s end-to-end data and automation platform, including deal workflows, borrower data ingestion, credit scoring and forecasting, investor pipelines, dashboards, security, auditability, and post-close portfolio monitoring.

Responsibilities

• Design and run the deal workflow from origination intake through closing
• Implement governed workflow automation with schema validation, human review, and audit trails
• Build the ingestion and storage layer for borrower financials and payment telemetry
• Develop and monitor credit scoring and forecasting models in Python
• Maintain model evaluation and regression checks
• Build and operate the investor pipeline, CRM automation, and data room
• Instrument LP pipeline conversion rates, stage aging, and next actions
• Ship fund-level investor reporting and facility-level borrower reporting
• Implement cost monitoring, regression canaries, access controls, and data protection
• Document runbooks and handover-ready operating procedures
• Monitor portfolios, covenants, collateral, scenarios, and stress cases
• Present dashboards and financial data to investors and borrowers

Requirements

• 7+ years across data analytics or data engineering
• Recent hands-on experience building and running production automation
• Production experience with LLM-based automation, schema validation, human review gates, evaluation, regression testing, and cost-tiered model routing
• Strong SQL and Python skills
• End-to-end PostgreSQL or similar data platform ownership, including ETL, materialized views, performance tuning, and data contracts
• Workflow orchestration experience with n8n, Airflow, or comparable tools
• Experience with Tableau, Power BI, Qlik, or equivalent web dashboards
• Experience implementing role-based access, deny-by-default policies, audit trails, and PII handling
• A degree in finance or a quantitative field
• Experience in portfolio analytics, market risk, or credit
• Strong written and spoken English
• Experience with private credit, lending, or fund operations preferred
• Forecasting and statistical modeling experience preferred
• Experience with embeddings, semantic search, or multi-model AI setups preferred
• Web development experience with React, TypeScript, or similar preferred
• Experience in audited or regulated environments preferred

Benefits

• 100% company-paid medical insurance
• 100% company-paid dental insurance
• 100% company-paid vision insurance
• Unlimited flexible time off