Junior Data Analyst (Portfolio Analytics) (Whitehall)

Junior Data Analyst (Portfolio Analytics)

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 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 has generated over $7 billion in transaction volume for its partner brands and has the highest-rated, most-reviewed, largest and fastest-growing app of any fintech in the GCC region. Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.

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 in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.

Minimum 1 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 and forecasting techniques.

Basic understanding of IFRS9 credit risk modelling requirements and financial concepts

Experience with visualisation tools, i.e., Tableau and 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

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.

We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be).

If this sounds exciting to you, we'd love to hear from you!