About Pagaya

Help Shape the Future of Finance

Pagaya is a financial technology company working to reshape the lending marketplace, for investors, by using machine learning, big data analytics, and sophisticated AI-driven risk analysis. With its current focus on consumer credit and real assets, PAGAYA’s proprietary suite of solutions and pipelines to banks, fin-tech lenders and others was created to actively find greater value for institutional investors. PAGAYA’s models create additional value to that pipeline as well, by increasing liquidity and, in turn, increasing opportunities for access to credit.

We move fast and smart, identifying opportunities and building end-to-end solutions from AI models and unique data sources to new business partnerships and financial structures. Every PAGAYA team member is solving new challenges every day in a culture based on collaboration and community. We all make an impact regardless of title or position.

Our Team

The company was founded in 2016 by seasoned finance and technology professionals, and we are now 400+ strong in New York, Tel Aviv, and LA. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams—people you can be proud to work with!

Our Values

  • Continuous Learning: It’s okay to not know something yet, but have the desire to grow and improve.
  • Win for all: We exist to make sure all participants in the system win, which in turn helps Pagaya win.
  • Debate and commit: Share openly, question respectfully, and once a decision is made, commit to it fully.

The Pagaya way: Use first principles thinking to support our needs, but is unique to Pagaya.

Key Responsibilities

    • Full ownership of an innovation project, driving its vision and development 
    • Working with teammates across all Pagaya, in Israel and abroad, to make an idea turn into a working MVP within months.
    • Lead the research needed to make Pagaya’s offering better than any other in the market
    • Actively managing multiple projects of varying size and complexity.


  • Proven experience in Product Management or Business Development.
  • Proven experience in scientific research. 
  • Ability to effectively prioritize and execute tasks in a dynamic environment using a data-driven and analytical approach.
  • Excellent interpersonal and communication skills.
  • Highly independent, fast learner, with the ability to quickly identify and address strategic and operational needs and skills to push the needs into a working MVP.
  • A master’s Scientific Degree graduate (MSc).
  • Background in Big Data, and understanding of AI/ML systems development – an advantage

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