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Responsibilities:

  • Build and own the models behind our lending program: transaction classification, recurring inflow/outflow detection, annual revenue estimation, forecasting with seasonality, anomaly detection, and more.
  • Turn messy data streams into a defensible view of a business's health.
  • Deploy models into a production environment with observability, monitoring, and tests.

Requirements:

  • 7+ years building ML models that shaped automated decisions with money on the line.
  • Write production-grade Python and strong SQL.
  • Depth beyond classification models: time series, forecasting, anomaly detection, and NLP models.
  • Proficient with deep learning, transformers, and LLMs.

Nice to Have:

  • Direct experience modeling on bank transaction data.
  • Experience in small business lending or business credit cards.
  • Experience with revenue-based financing or merchant cash advances.

Mercury

Mercury is a fintech company building the future of financial infrastructure for startups and growing businesses, with proprietary access to bank transactions and financial data. They value diversity and belonging and are an equal opportunity employer with a collaborative culture.

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