Shape the Future of Finance
Pagaya is building a leading artificial intelligence network to help our partners grow their businesses and better serve their customers.
Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.
Let's create better outcomes together!
About the Role
A unique aspect of this position is you may work alongside every person on our team: data engineers, colleagues in finance and operations, investor relations and sales, capital markets and partnerships as well as the firm’s leadership.
This role involves investigating problems, asking the right questions, and applying learned knowledge for significant impact - be it building models for a new asset class or improving monitoring and the investment management process at Theorem. While our tools may often be those of data science, our outcomes are the result of disciplined, scientific thought paired with disciplined action.
Your job is to grow firm revenue by increasing qualified purchasing of loans which you'll do by applying Theorem’s proprietary machine learning models to analyze large datasets of loan data from prospective and existing lending partners.
Applicants must be authorized to work in and currently living in the United States, preferably in the Bay Area, or New York or Los Angeles metro areas.
What You'll Do
- Create accurate and complete platform term sheets that will allow investment leaders to make business decisions aligned with our target investment profile for our funds — you'll map raw messy data into a useable format to get quick but confident estimates of performance
- Perform robust and quick analysis of multiple potential and existing lending partners and platforms — ranging from unsecured consumer loans to adjacent asset classes
- Research and provide insights about borrowers, loans, and portfolio performance that inform and support teams across the firm — empowering Investor Relations communications as well as due diligence assessments and risk management decisions
- Create templates, tools and automation geared to systematize platform ingestion process for greater speed and accuracy
What You'll Gain
- Mentorship by a senior researcher — a highly technical research and business leader
- Collaborative partnership with data engineers, partnerships and capital markets professionals, investor relations and sales colleagues, as well as many other operational areas
- You'll learn and develop business expertise in unsecured consumer lending and adjacent asset classes, underwriting, and credit risk default modeling
- You'll have the opportunity to learn about business strategy and execution, platform partnerships, and investment portfolio construction
- Your intellectual curiosity and hard work will be welcome contributions to our culture of knowledge sharing, transparency, and shared fun and achievement
What We're Looking For
- 2-5+ years hands-on data analysis experience in full-time professional, data-heavy and analysis-focused role
- Demonstrated knowledge of statistics — primarily probabilities and key aspects of survival analysis
- Basic machine learning models and hands-on data analysis
- Machine learning — primarily classification, model fit & evaluation
- Math savvy and analysis intuition and sense
- Technical competence in SQL, python
- Basic experience with git, unix terminals
- Preferred academic background: technical undergrad degree — CS/stats/math/physics preferred; or strong evidence that demonstrates the candidate’s strength in math+CS
- Located in the US
The pay ranges for New York-based hires are commensurate with candidate experience.
Pay ranges for candidates working in locations other than New York may differ based on the cost of labor in that location.
Compensation Range for New York Based Hires
$200,000—$300,000 USD
Our Team
Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs with our head quarters located in NYC and Tel Aviv.
We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.
Join a team of builders who are working every day to enable better outcomes for our partners and their customers.
Our Values
- Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
- Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
- Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.
- Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
- Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
More than just a job
We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.
Top Skills
What We Do
Pagaya is financial technology company that enables financial institutions to expand access to more customers through its artificial intelligence network
