Overview
This role involves analyzing credit risk performance and supporting the risk strategy across products in a B2C credit risk function. You will work with large datasets to identify trends, monitor portfolio performance, and enable data-driven decisions that balance growth with risk discipline.
Responsibilities
- Analyze portfolio performance, customer behavior, and key risk indicators across products and segments
- Use 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 improve risk management processes and strategies through innovation and adoption of best practices
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 in a fast-paced, high-growth environment
- Excellent communication and interpersonal skills, with the ability to clearly and concisely convey complex information
Compensation & Benefits
- 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 preferred tools
- Participation in an employee stock option program
Location
Egypt. Remote work is available in eligible locations. Hiring is based within four hours of Dubai time; relocation may be discussed to hubs in Armenia, Georgia, Serbia, Poland, and Spain.