Senior Data Analyst (Portfolio Analytics & Modeling) at Tabby

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Excel, Statistical Analysis, Forecasting Techniques, Machine Learning, IFRS9, Risk Modeling, Data Visualization, Communication Skills, Problem Solving, Collaboration, Automation, Financial Analytics, Reporting

Industry

Financial Services

Description

Senior Data Analyst (Portfolio Analytics & Modeling) Department: Risk Core Employment Type: Full Time Location: Egypt Reporting To: Mennatullah Mustafa Description About us: Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 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 $10 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 is now valued at $3.3 billion. About the Role: You'll be joining our growing Portfolio Analytics and Modeling team which is responsible for Credit Risk Modeling and Financial/Strategic analytics. You'll be responsible for analyzing data, creating reports, and developing data-driven insights to support business decision-making. You will work closely with stakeholders to gather requirements and deliver comprehensive reports and dashboards using various programming and data analysis techniques. Key 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. Skills, Knowledge & Expertise 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 Job 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.

Responsibilities

The Senior Data Analyst will analyze financial data to derive actionable insights and develop reports and dashboards for decision-making. They will also ensure data accuracy, investigate discrepancies, and collaborate with cross-functional teams.