Risk Data Analyst

Tabby

United States

Remote

USD 90,000 - 130,000

Full time

12 days ago

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Job summary

Tabby is seeking a Risk Analyst in the United States to help analyze risk performance across our products and contribute to the risk strategy. You will work with large datasets to identify trends and monitor portfolio performance, supporting data-driven decisions that balance growth with risk discipline.

This role is highly cross-functional, requiring close collaboration with data, product and engineering teams to ensure healthy portfolio performance.

Responsibilities

  • Analyze risk performance and contribute to risk strategy across Tabby's products.
  • Work with large datasets to identify trends, monitor portfolio performance, and support data-driven decisions balancing growth with risk discipline; collaborate with data, product and engineering teams.

Job description

About tabby

Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn’t setting them up for success.

We’re building a different kind of system—in a complete money app to send, spend and save. One that’s clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.

What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.

About the Role

As a Risk Analyst at Tabby, you will play a key role in analysing risk performance and contributing to the risk strategy across our products. You will work with large datasets to identify trends, monitor portfolio performance, and support data-driven decisions that balance growth with risk discipline. This role is highly cross-functional, requiring close collaboration with data, product and engineering teams to ensure healthy portfolio performance.

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