Tabby
Risk Data Analyst
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- Salary
- AED 12k–18k a month· est.
- Job type
- Full time
- Level
- Mid level
- Field
- Data & Analytics
- Work mode
- Remote
- Visa
- Employer sponsors
About the role
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. - 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. - 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. Locations We hire candidates based within four hours of Dubai time, with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain. What you can expect - Flexible working hours, coordinated with your team and the needs of your role. - Autonomy and responsibility from day one. - Opportunities to grow through the quality and impact of your work. - AI Allowance to your preferred tools - Participation in our employee stock option program. We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals. If this sounds like the right opportunity for you, we’d love to hear from you.
Requirements
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.
Responsibilities
- - Analyse portfolio performance, customer behavior, and key risk indicators across products and segments.
- - Utilise 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
- SQL
- Python
- risk analytics
- fraud analytics
- data-driven decision-making
- portfolio risk management
- risk modeling
- big data analytics
- dashboard reporting
- communication
- interpersonal skills
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