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Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money.
Over 20 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees.
Over 40,000 general brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and versátil payments online and in stores.
Tabby generates over $14 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing Fin
Tech in the GCC region.
Tabby launched in **** and has since raised +$1 billion in equity and debt funding from integral and regional investors, and now has an implied valuation of $4.5 billion.
Key Responsibilities
Preparation of datasets to support advanced risk analysis
Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
Drive the end-to-end lifecycle of LLM models
Develop and refine fraud prevention strategies, including rule-based systems and predictive models
Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
Mentor junior analysts and contribute to best practices in risk analytics and modeling
Skills, Knowledge & Expertise
Bachelor's degree in Mathematics, Computer Science, Statistics, or a related quantitative field (Master's degree is a plus)4+ years of experience in risk analytics, data analytics, or a similar role within banking or fintech
Advanced proficiency in SQL and strong hands-
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