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Pagaya Investments

AI-powered asset management and ABS issuance

Lead Data Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in machine learning, working with tabular data on predictive modeling.
  • A track record of translating research into business impact.
  • A Master of Science degree in a related field, such as Mathematics, Electrical Engineering, Computer Science, Physics, or Statistics.
  • Applied statistics skills, including distributions, statistical testing, and regression.
  • Proficiency in Python and the data science stack.
  • Ability to work independently and collaboratively.

Responsibilities

  • Lead strategic research initiatives involving new machine learning models.
  • Mentor and advise data scientists on the Auto Loans research team and across the research department.
  • Design solutions for the company's core mission using data science methodologies from various domains.
  • Work in a short-lifecycle research and development environment.
  • Generate and test working hypotheses in unexplored areas.

Desired Qualifications

  • Knowledge of optimization, risk, or finance.

About the Company

Pagaya Investments

AI-powered asset management and ABS issuance

Pagaya Investments uses artificial intelligence to manage institutional money through asset management products, especially asset-backed securities (ABS). It analyzes large datasets with machine learning to uncover opportunities in complex credit markets and to understand consumer behavior, then issues and actively manages AI-driven ABS for institutional investors. The product works by collecting data, training models to forecast cash flows and credit risk, structuring ABS, and continuously supervising them with AI, often in collaboration with tech-enabled partners. The company differentiates itself through large-scale, AI-powered active management of ABS, data-driven consumer insights, and an ecosystem of partnerships, enabling rapid development of end-to-end financial solutions. Its goal is to grow asset management by delivering AI-enabled financial products that deepen understanding of consumer behavior and improve returns for institutional clients.

Company size
201-500
Company stage
IPO
Headquarters
New York City, New York
Founded
2016

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