Production Analyst

Title: Production Analyst Location: Tel Aviv, Israel

About Pagaya

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.

About the Role 

We are looking for an ambitious Production Analyst who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that each policy delivers the required portfolio KPIs. The analysts conduct a wide range of analysis projects that strongly influence the business side of the company. The candidate should be comfortable working quickly and handling a busy workload, and should demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.

AI is a core part of how our team works. We use AI-assisted development tools such as Cursor every day to write and test policy code, we build our own AI skills that standardize recurring work, and we continuously automate our processes. We are looking for someone who is excited to work this way and to take it further.

This individual will join the Portfolio Management & Research department and will be part of a team of data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.

Key Responsibilities

• Managing and implementing (Python) underwriting policies in the production environment, using AI-assisted development tools such as Cursor to write, review and test policy code.
• Performing quality analytics checks to ensure the policy logic meets the defined requirements (portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
• Conducting tests to evaluate each component of the policy configuration and validate the results.
• Monitoring policy behavior in production and analyzing whether the actual results meet expectations.
• Building and maintaining reusable AI skills and agents that standardize recurring workflows, such as policy implementation, post-release verification, monitoring and debugging.
• Identifying manual or repetitive processes and automating them end to end, to increase the team's throughput and quality.
• Presenting meaningful business insights from data.
• Performing ad-hoc analysis to support business decisions.
• Creating innovative, interactive dashboards, scorecards, and weekly or monthly reports on key business measurements, tailored to all audiences (from executive management to business line employees), using BI tools, Python and SQL.

Requirements

• 2 years of proven track record in analyzing data using Python and SQL.
• Bachelor's degree in Information Systems Management, Computer Science, or another quantitative discipline.
• Experience with Pandas and NumPy.
• Experience using BI systems, and an understanding of software systems architecture and databases.
• Hands-on experience using AI coding tools such as Cursor (or similar) in day-to-day work, and a strong drive to keep learning new AI tools and practices.
• Proven track record of handling large, complex datasets while staying detail-oriented and accurate.
• Ability to multitask and prioritize effectively, thriving in high-pressure environments.
• Ability to step outside an existing process and redefine it, and to implement processes where none exist, including automating them.
• Experience building automations, scripts, or AI agents and skills: an advantage.
• Experience with Looker: an advantage.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, 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

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• 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.
• 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.

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. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.