Bridge lending and asset management platform for multifamily and seniors housing
MONTICELLOAM provides specialized lending and advisory services to the multifamily and seniors housing sectors, with a tech stack anchored on Snowflake, Python, and machine learning libraries (TensorFlow, PyTorch, scikit-learn). The hiring pattern—9 finance roles against 2 data roles, concentrated at mid and senior levels—reflects a finance-first organization scaling operational capacity rather than building ML-heavy products. Active projects center on automated reporting, portfolio monitoring dashboards, and asset valuation models, addressing stated pain points around real-time BI and data consistency across dispersed communities.
MONTICELLOAM is a specialized real estate lending and advisory firm based in New York serving the multifamily and seniors housing markets. The company originates bridge loans, working capital solutions, and permanent debt instruments tailored to the sector, and operates an advisory practice focused on workout, asset management, and restructuring services for institutional clients. Operations span the United States and Canada. The technology backbone supports portfolio monitoring, financial close automation, and multi-entity accounting across distributed properties and loan servicing workflows.
Core tools: Snowflake (data warehouse), Python, TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, SQL. Financial systems: Kyriba, NetSuite, Oracle, Sage Intacct, AVID. Workflow: Ramp, Microsoft Office, Excel.
Automated reporting dashboards, machine learning models for asset valuation, scalable data pipelines, portfolio monitoring systems, and finance system migrations. Current priorities include real-time business intelligence and process efficiency across multifamily and seniors housing loan portfolios.
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