Data Analyst
Tel Aviv, Israel
Pagaya
Discover cutting-edge financial solutions with Pagaya's AI network of lenders. More credit approvals without undue risk. Partner with us today.About Pagaya
Help Shape the Future of Finance
Pagaya is a financial technology company working to reshape the lending marketplace, for investors, by using machine learning, big data analytics, and sophisticated AI-driven risk analysis. With its current focus on consumer credit and real assets, PAGAYA’s proprietary suite of solutions and pipelines to banks, fin-tech lenders and others was created to actively find greater value for institutional investors. PAGAYA’s models create additional value to that pipeline as well, by increasing liquidity and, in turn, increasing opportunities for access to credit.
We move fast and smart, identifying opportunities and building end-to-end solutions from AI models and unique data sources to new business partnerships and financial structures. Every PAGAYA team member is solving new challenges every day in a culture based on collaboration and community. We all make an impact regardless of title or position.
Our Team
The company was founded in 2016 by seasoned finance and technology professionals, and we are now 400+ strong in New York, Tel Aviv, and LA. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams—people you can be proud to work with!
Our Values
- Continuous Learning: It’s okay to not know something yet, but have the desire to grow and improve.
- Win for all: We exist to make sure all participants in the system win, which in turn helps Pagaya win.
- Debate and commit: Share openly, question respectfully, and once a decision is made, commit to it fully.
- The Pagaya way: Use first principles thinking to support our needs, but is unique to Pagaya.
About the Role
About the RoleAs a data analyst in Pagaya’s Real-estate Operations group, you will be part of a team of go-getters who are participating in the exciting phase of building a new business unit in our company. As such, you will be required to establish new practices and define new ways to analyze and monitor data.
Partnering with a vast ecosystem of US-based vendors and partners, you will be responsible for turning multiple data streams into workable, structured data, and generating business insights and management reports.
Key Responsibilities
- Define and analyze large datasets across multiple internal/external sources using varying tools (Python, BI tools, SQL and Excel)
- Provide meaningful business insights from operational and financial data
- Help create structured processes that will enable the enhancement of the new business’s visibility
- Perform ad-hoc analysis to support business decisions
- Suggest improvement of processes by implementing changes and automation
- Learn and understand the business and suggest optimization processes
- Gain a wide knowledge of Pagaya’s operational business and technological activities in order to add value to the company’s investment game plan and operational strategy
- Bachelor’s Degree in Industrial Engineering, Computer Science, or other quantitative disciplines with an exceptional academic record
- 2 years of proven track record in analyzing data using Python and SQL
- Exceptional analytical skills
- Capacity to multitask and prioritize effectively
- Team player, “can do” attitude
- Ability to work in a high paced environment and get things done
- Ability to independently learn new subjects
- Details oriented and meticulous
- High level of English (verbal and written)
- Experience in the field of real estate, insurance, or other financial services operations
- Experience in the fintech or other relevant data-driven companies
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Engineering Excel Finance FinTech Industrial Machine Learning Pipelines Python SQL
Perks/benefits: Career development Team events
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