Portfolio Analytics Analyst

Overview

• Contribute to the management and analytics of asset-backed debt investments in a dynamic and collaborative environment.
• Extract, analyze, and manage collateral data to support risk management and reporting processes.
• Collaborate with technology teams to develop and maintain centralized data platforms and ETL pipelines.
• Apply AI tools for structured data extraction from diverse borrower documents and tapes.
• Assist in building BI dashboards to provide actionable insights across portfolio data.
• Engage with stakeholders to deliver data-driven insights for critical business decisions.
• Standardize workflows and maintain documentation of data flows and mappings.
• Work in an entrepreneurial environment fostering collaboration and innovation.

Key Responsibilities & Duties

• Extract, validate, and load borrower and servicer data tapes into management systems.
• Develop ETL pipelines and scripts for automating data ingestion workflows.
• Utilize AI tools for parsing unstructured data into structured formats.
• Collaborate with technology teams to design and test data pipeline components.
• Ensure data accuracy and consistency for internal and external reporting.
• Build and maintain BI dashboards for portfolio analytics and risk management.
• Manage borrowing base reviews and borrower compliance tracking.
• Document workflows and data mappings to ensure clarity and standardization.

Job Requirements

• Bachelor’s degree in Finance, Computer Science, Data Science, or related field.
• 3+ years of experience in asset management, private credit, or structured finance.
• Proficiency in Python and SQL for data extraction and automation.
• Knowledge of AI/LLM APIs for document parsing and data extraction.
• Experience with financial data tapes and cashflow modeling.
• Familiarity with BI tools such as Power BI or Tableau.
• Strong analytical skills and attention to detail.
• Collaborative mindset and ability to thrive in an entrepreneurial environment.