Company: Tabby
Employment Type: Full-time (B2B Contract)
Work Arrangement: Fully Remote
Relocation: Available to select international hubs
About the Company
Tabby is a global fintech company focused on reshaping how people shop, earn, and manage their money. Serving over 15 million users, Tabby enables customers to split payments online and in-store with no interest or fees. More than 40,000 global brands and merchants—including major international retailers—use Tabby’s platform to drive growth and customer loyalty.
Founded in 2019, Tabby has raised over $1 billion in equity and debt funding and processes more than $10 billion in annual transaction volume. The company is recognized as one of the fastest-growing fintech platforms in the GCC region.
Role Overview
Tabby is seeking a Data Scientist (Risk) to join its Data Science team within the Risk Department. This role focuses on developing and maintaining risk models that support credit decisioning and fraud prevention, while also contributing to next-generation machine learning initiatives.
The position offers exposure to advanced modeling techniques, scalable data infrastructure, and automation of machine learning workflows. The successful candidate will work in a fast-paced environment where data science directly impacts business outcomes.
Key Responsibilities
- Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches
- Retrain, monitor, and validate production models to ensure accuracy and adaptability to evolving customer behavior
- Build and manage scalable data marts in BigQuery to support analytics and model development
- Contribute to the development of internal ML automation tools and workflows (e.g., AutoML components)
- Deliver data-driven insights through ad-hoc analysis for product, credit, and operations teams
- Participate in research and early-stage prototyping of advanced architectures, including transformers and multimodal models
Required Qualifications
- 2+ years of experience in data science, machine learning, or risk analytics roles, preferably with exposure to credit scoring
- Strong proficiency in Python and common ML/data libraries (NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM)
- Experience using PyTorch to build and fine-tune machine learning models
- Advanced SQL skills with experience handling large datasets
- Experience building and deploying end-to-end machine learning solutions
- Hands-on experience with Airflow, Docker, or similar tools for production ML workflows
- Professional fluency in English
Preferred Qualifications
- Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure
- Familiarity with data visualization tools such as Tableau or Power BI
- Prior exposure to financial datasets and risk management concepts
Compensation & Benefits
- Full-time B2B contract
- Fully remote work setup
- Up to 20% tax allowance
- 22 paid leave days per year
- Employee Stock Option Plan (ESOP) in a fast-growing, pre-IPO company
- Flexible benefits budget for wellness, travel, or learning
- Opportunity to work with a high-performing, international engineering team
Relocation Support
Relocation support is available for candidates interested in working from company hubs in Armenia, Georgia, Serbia, Portugal, or Spain, including assistance with flights, temporary accommodation, and legal setup if required.