Role overview
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
What you'll work on
- Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.
- Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
- Build and manage scalable data marts in BigQuery to support model development and analytical needs.
- Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).
- Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
- Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).
Tags & focus areas
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