Hybrid Senior Data Analyst, Portfolio Analytics & Modeling

at Tabby

• Job title: Senior Data Analyst, Portfolio Analytics & Modeling
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, Cairo, Egypt

About the role

• Senior Data Analyst handling Credit Risk Modeling and Financial analytics for Tabby. Analyzing data to support business decision-making and stakeholder collaboration.

Responsibilities

• Analyze customers and merchants financial data to derive actionable insights
• Develop reports and dashboards to support various reporting lines (external & internal reporting)
• Ensure the accuracy and consistency of data across multiple sources for reconciliation; identifying and resolving discrepancies, ensuring the integrity of data, and providing reliable insights to support decision-making processes
• Investigate and analyze the underlying causes of data discrepancies, collaborating with relevant stakeholders to resolve issues and prevent future occurrences.
• Engage in risk/finance analytics and ad-hoc inquiries
• Participate in designing and enhancing various risk/finance processes
• Develop and maintain ECL calculations models including but not limited to: PD, LGD, EAD under IFRS-9 guidelines
• Perform initial validation of risk models to ensure compliance with IFRS 9 standards.
• Collaborate with cross-functional teams to provide data-driven insights for product launches and operational improvements.
• Optimize existing processes through automation and policy development.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
• 3+ year of relevant experience **at a bank or Fintech** in a data analytics team or Risk analytics team
• Strong analytical and data capabilities, backed up by technical coding skills.
• Proficiency in SQL, Python and Excel is a must.
• Strong understanding of statistical analysis, forecasting techniques and machine learning algorithms
• Basic understanding of IFRS9 credit risk modeling requirements and financial concepts
• Experience with visualization tools: i.e. Tableau, Power BI.
• Excellent command of English
• Excellent written and verbal communication skills
• Ability to effectively present complex data and findings in a clear and concise manner

Benefits

• The opportunity to learn from and grow with the sharpest minds in the business
• We offer flexible working hours and trust you to work enough hours to do your job well at times that suit you and your team.
• A working environment that gives you autonomy and responsibility from day one.
• You should be comfortable with the idea that the quality of your work will influence the shape of your career.
• Participation in the company’s employee stock options program.
• Health Insurance.
• Flexi Perks: a monetary benefit to spend on what matters most to you — health, well-being, education, or professional development.