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Responsibilities:

  • Build and own the first recommendation features for connections and opportunities.
  • Use collaborative filtering, clustering, and ML; add embeddings where they earn their place.
  • Own evaluation via offline metrics and online experiments.

Requirements:

  • Hands-on production experience with recommendation systems.
  • Strong Python and SQL; grasp of classical ML methods.
  • Experimentation literacy and product judgment.

Nice to have:

  • Fintech or capital markets exposure.
  • Graph/network methods (GNNs, link prediction).
  • Early or founding data scientist experience.

Termgrid

Termgrid builds the operating system for private capital markets, helping deal professionals manage financing workflows. Founded in 2019, the company is trusted by 4 of the top 5 global private equity firms, with 1,600+ institutions and 30,000+ professionals using the platform.

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