Principal Oracle Business Systems Analyst at Entrust driving solution strategy and optimizing Oracle Cloud ERP applications for global business processes.
About the role
- Associate supporting asset management for commercial real estate debt investments at advisory firm. Responsibilities include data analysis, workflow automation, and collaboration with investment team.
Responsibilities
- Build, maintain, and improve data pipelines, implementations, and reporting workflows that support the asset management of commercial real estate debt investments across securitized and non-securitized portfolios, including CMBS, Conduit, SASB, CRE CLO, and other CRE debt structures.
- Develop Python and SQL based processes to ingest, clean, and warehouse data from servicing systems, remittance files, borrower reporting, property operating statements, rent rolls, market data, and internal portfolio management tools.
- Design data visualizations, reports, and analyses that connect information across the loan, property, tenant, borrower, deal, and bond levels to support surveillance, reporting, valuation, and asset-level decision-making.
- Implement workflow automation to improve the team’s ability to oversee large portfolios, identify outliers, and focus asset management attention on credits that require follow-up or deeper review. Partner closely with asset management professionals to translate real estate debt workflows into scalable tools and solutions.
- Utilize large language models (LLMs) to enhance data extraction, coding efficiency, process automation, and internal workflow design, with appropriate controls and human oversight.
- Support the loan onboarding and abstraction process, focusing on the abstraction of unstructured data fields from legal documents and underwriting materials so that debt investments can be efficiently monitored over time.
- Document process logic, business rules, system architecture, and workflow design so that tools are reliable, maintainable, and aligned with the needs of a real estate debt asset management platform.
- Continuously identify opportunities to improve the efficiency, scalability, and analytical depth of the Debt Asset Management Team.
Requirements
- 0-2 years of relevant experience, including internships, research, or early-career work in data engineering, data science, computer science, quantitative analysis, or systems-focused roles.
- Strong proficiency in Python building data structures, implementing automation, and creating internal tools for business stakeholders.
- Working knowledge of relational databases, including the ability to structure, query, and maintain large datasets.
- Demonstrated ability to effectively utilize large language models (LLMs) in a project or business setting, with appropriate controls and human oversight.
- Interest in commercial real estate, real estate finance, structured credit, or fixed income investing, with a desire to learn how real estate debt portfolios are underwritten, monitored, and managed over time.
- Exposure to financial, operating, or asset-level data analysis through work experience, internships, project work, or coursework preferred; experience related to real estate, credit, lending, or investment analysis is a plus but not required.
- Ability and willingness to learn key real estate debt concepts such as property cash flow, leasing, collateral performance, loan structures, covenant compliance, debt service coverage, maturity risk, and borrower reporting.
- Strong communication skills and the ability to work effectively with non-technical professionals, including asset managers and investment professionals.
- Demonstrated academic excellence, curiosity, and a genuine interest in using technology to inform decision-making in commercial real estate debt investing and asset management.
Benefits
- Employer-paid Medical, Dental & Vision, with buy-up options available
- Flexible Spending Account, Health Savings Account
- Carrot Fertility Benefit - $10,000 lifetime benefit
- 401k company match 4%, immediately vested
- Generous PTO, 11 Paid Company Holidays & Paid Holiday Office Closure
- 14 weeks Maternity Leave & 12 weeks Parental Leave
- Wellbeing program offerings
- Cell phone reimbursement
- Engaging team events & holiday parties
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