Careers

Senior Data Scientist – Slovenia

· Full-time

About The Position

Pagaya is a leading Fintech company with over $1.7B in assets under management, and growing rapidly. Pagaya leverages machine learning and big data to design the company’s core statistical models for various alternative assets, including consumer loans, auto loans, credit cards, and more. We serve a broad range of institutional and high net worth investors, including banks, pensions plans, foundations, private wealth and sovereign wealth funds. As one of the fastest-growth fintech companies in the world, Pagaya tackles some of the most challenging, cutting-edge research questions in the field of data science, statistics and algorithm. As we continue to build our team, we’re looking for exceptional mathematicians, computer scientists and experts in similar fields to join our R&D team. This team is at the forefront of Pagaya’s work and spearheads our developments as we continue to research unexplored fields in the finance world.Key Responsibilities:Design solutions for the company’s core mission using Data Science methodologies from various domains

Take part in developing new cutting edge algorithms based on various Machine Learning techniques

Work in a short life-cycle research and development environment

Generate and test working hypotheses in unexplored territory

Pagaya is an asset management firm with over $1.7B in assets under management and growing rapidly. Pagaya invests in alternative credit using cutting-edge machine learning technologies and big data analytics. We serve a broad range of institutional and high net worth investor markets including banks, pensions plans, foundations, private wealth and sovereign wealth funds.


Key Responsibilities:

  • Design solutions for the company’s core mission using Data Science methodologies from various domains
  • Take part in developing new cutting edge algorithms based on various Machine Learning techniques
  • Work in a short life-cycle research and development environment
  • Generate and test working hypotheses in unexplored territory

Requirements

  • Math/EE/CS/Physics/Stats graduate with an honored BSc or MSc
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Strong scripting and programming skills, preferably in Python
  • Independent and fast learner that can work alone and in teams
  • Ability to learn and explore new fields of expertise
  • Knowledge in some of the following can be an advantage: machine learning, predictive modeling, optimization, risk and finance

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