Data Analyst (Maternity leave) at Pagaya Israel

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Analysis, Quality Checks, Data Visualization, BI Tools, Pandas, Numpy, Multitasking, Attention to Detail, Critical Thinking, Dashboard Creation, Ad-hoc Analysis, Software Systems Architecture, Database Management, Policy Configuration

Industry

Financial Services

Description

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 Data Analyst for a maternity leave (with option to extend), who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPI’s.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders. This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment. Responsibilities Managing and implementing (Python) underwriting policies in the production environment. Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPI’s) 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 to validate the results. Monitoring of the policy behavior in production and analyze if the actual results meet the expectations. Demonstrate the ability to present and provide meaningful business insights from data. Perform ad-hoc analysis to support business decisions. Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries. Requirements Bachelor’s Degree in Information Systems Management, Computer Science, or other quantitative disciplines required. 1-2 years of proven track record in analyzing data using Python and SQL. Experience with Pandas/ Numpy. Working with BI systems, and understanding software systems architecture and databases. Proven track record of handling large complex datasets, while being detail-oriented and maintaining accuracy. Capacity to multitask and prioritize effectively, thriving in high-pressure environments. Ability to step outside of an existing process and redefine it and the capability to implement processes where one is lacking. 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. https://pagaya.com/privacy-policy

Responsibilities

The Data Analyst will manage and implement underwriting policies in the production environment and perform quality analytics checks to ensure policy logic meets defined requirements. They will also conduct tests to validate results and monitor policy behavior in production.