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.
We are thrilled to announce an opportunity for a skilled Fraud Analyst to join the Tabby team.
Key Responsibilities
Risk Analysis and Mitigation: Conduct thorough analysis of credit and operational risk exposure. Develop and implement strategies to mitigate identified risks.
Data Analysis: Utilize big data analytics to identify risk patterns and insights. Develop reports and dashboards to monitor risk metrics and performance.
Model Development: Create and refine predictive models for assessing credit risk, fraud, and defaults. Ensure models are updated with market trends and regulatory requirements.
Regulatory Compliance: Ensure all risk management activities comply with regulatory requirements and industry standards. Stay updated on relevant regulations and guide compliance strategies.
Stakeholder Communication: Communicate risk findings and recommendations to stakeholders, including management and department heads. Assist in guiding risk mitigation measures.
Project Management: Assist in risk-related projects, including the integration of new technologies or methodologies into the risk framework.
Continuous Improvement: Contribute to improving risk management processes and strategies through innovation and adoption of best practices.
Skills, Knowledge & Expertise
Bachelor's or Master's degree in Finance, Economics, Statistics, or a related field.
Minimum of 3 years of experience in risk analysis or management, preferably in the BNPL sector or related financial services.
Strong analytical skills with experience in statistical modeling and data analysis.
Strong Proficiency in SQL, and Excel. Knowledge of Tableau, Python, or R is a plus.
Excellent communication and interpersonal skills, with the ability to convey complex information clearly and concisely.
Experience in managing projects and coordinating cross-functional initiatives.
