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Build and own the intelligence layer of an analytics engine by creating knowledge graphs, RAG and LLM workflows, scalable data pipelines, provenance systems, and backend APIs. Partner directly with investment analysts and asset managers to identify needs and deliver reliable, low-latency analytical insights. Responsibilities include productionizing ML applications, managing data quality and lineage, developing graph-based retrieval, and exposing structured data and ML outputs to applications.

Support sourcing, underwriting, structuring, and execution of asset- and portfolio-level debt financings for a large industrial real estate portfolio. Perform financial modeling, cash flow projections, asset analysis, lender marketing materials, and transaction support using Excel and Argus. Coordinate with internal teams, lenders, and advisors through closing and post-close reporting.