Head of Fund Analytics – Credit Fund

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and manage the complete deal workflow from origination intake to screening, scoring, credit committee, and final closing.

• Implement governed workflow automation featuring schema validation, human review checkpoints, and comprehensive audit trails.

• Construct ingestion and storage systems for borrower financial data and payment telemetry, including Xsolla transaction information.

• Develop credit scoring and forecasting models in Python, adhering to train/test protocols, ensuring leakage and PII exclusion, and implementing drift monitoring.

• Maintain evaluation and regression checks to uphold model and automation quality.

• Build and manage the investor/LP pipeline, incorporating CRM automation, conference and referral tracking, follow-up orchestration, and data room maintenance.

• Track LP pipeline conversion rates, stage aging, and next steps.

• Deliver reconciled, reproducible fund-level investor reports and facility-level borrower dashboards.

• Oversee AI automation budgets and expenses, utilizing regression canaries before implementing changes.

• Establish access controls, data protection measures, audit logs, and secure management of LP identities, borrower financials, and deal terms.

• Create detailed runbooks and documentation that are ready for handover.

• Conduct portfolio monitoring, track covenants and collateral, perform scenario analyses, and execute stress testing after fund closure.

• Expand the platform to encompass additional investment types and assist in capital formation.

• Participate in meetings with investors and borrowers, presenting dashboards and underlying data, addressing diligence queries, and responding to LP operational due diligence questionnaires.

• Potentially recruit and lead a small team as platform and deal volumes increase.

⛳️ Requirements

• 7+ years of experience in data analytics/data engineering, including recent hands-on experience with production automation.

• Experience in production with LLM-based automation, schema-validated outputs, human review checkpoints, and evaluation and regression testing, along with cost-tiered model routing.

• Proficient in SQL and Python.

• End-to-end ownership of PostgreSQL or similar data platforms, covering ETL, materialized views, performance tuning, and data contracts.

• Experience with workflow orchestration tools such as n8n, Airflow, or equivalent.

• Proficiency in BI/dashboarding tools like Tableau, Power BI, Qlik, or similar web dashboards.

• Proven experience in developing executive decision-making reports.

• Knowledge of security protocols, including role-based access, deny-by-default policies, audit trails, and PII handling.

• A degree in finance or a quantitative discipline, along with experience in portfolio analytics, market risk, or credit.

• Ability to engage in underwriting or investor discussions.

• Strong written and oral communication skills in English.

• Comfortable delivering presentations to senior external audiences.

• Preferred: direct experience in private credit, lending, or fund operations.

• Preferred: experience in forecasting and statistical modeling.

• Preferred: knowledge of embeddings/semantic search and multi-model AI.

• Preferred: skills in React/TypeScript or similar web development frameworks.

• Preferred: experience in regulated environments or with audits such as SOC 2 or fund audits.

🏝️ Benefits

• 100% company-sponsored medical, dental, and vision insurance.

• Unlimited Flexible Time Off.

• Customized career roadmap for every employee.

• Opportunities for training and educational advancement.

• Support for employees' physical, mental, and emotional wellness.

• Benefits Program that extends support to employees and their families.