Risk Analyst

About Tabby

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 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 generates over $14 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and now has an implied valuation of $4.5 billion.

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.

Key Responsibilities

• Analyse portfolio performance, customer behavior, and key risk indicators across products and segments.
• Utilize big data analytics to identify risk patterns and insights.
• Develop reports and dashboards to monitor risk metrics and performance and present insights to leadership.
• Optimize risk strategies and policies to support sustainable growth.
• Contribute to the design and rollout of new products and policies.
• Collaborate with cross-functional teams to support launches in new markets and verticals.
• Continuously seek to improve risk management processes and strategies through innovation and adopting best practices.

Skills, Knowledge & Expertise

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, or a related field.
• 2–4 years of experience in risk management, fraud analytics, or a related data-driven role preferably in the FinTech sector or related financial services.
• Strong analytical skills and experience with SQL, Python or similar tools.
• Understanding of consumer lending, digital wallets, transfers and FinTech risk models.
• Ability to work independently and in a fast-paced, high-growth environment.
• Excellent communication and interpersonal skills, with the ability to convey complex information clearly and concisely.

Key skills/competency

• Risk Management
• Data Analysis
• Portfolio Performance
• Fraud Analytics
• SQL
• Python
• FinTech Risk Models
• Consumer Lending
• Strategic Optimization
• Cross-functional Collaboration