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Join to apply for the Data Scientist (Risk) role at Tabby

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Join to apply for the Data Scientist (Risk) role at Tabby

Description

Location : Remote

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.

Launched in 2019, Tabby has raised over $1 billion in equity and debt funding from global and regional investors and is valued at $3.3 billion.

We are seeking a highly skilled and motivated Data Scientist to join our Data Science team in the Risk Department. In this role, you will leverage advanced machine learning techniques and state-of-the-art approaches to drive data-driven decision-making and refine our risk strategies. You’ll work in a dynamic and fast-paced environment, contributing to impactful projects.

Key Responsibilities

• Design, develop, and maintain models using advanced machine learning techniques.
• Regularly monitor and validate existing models to ensure accuracy and relevance in risk assessment.
• Build and manage diverse data marts in BigQuery to support analytical requirements.
• Continuously optimize risk models to improve predictive accuracy and operational efficiency.
• Provide data-driven insights through ad-hoc analyses to inform strategic decisions.

Skills, Knowledge & Expertise

• At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.
• Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).
• Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
• Advanced knowledge of SQL, with the ability to work effectively with large datasets.
• Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
• Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
• Fluency in English to collaborate effectively with analysts and stakeholders.
• Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
• Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
• Prior experience working with financial datasets and a strong understanding of risk management principles.

Relocation

We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.

Our employees can choose a country for registration: Armenia, Georgia, Serbia, Portugal, or Spain.

We will assist with opening a legal entity and a bank account. In Armenia and Georgia, taxes are compensated by Tabby. In other countries, we provide partial tax compensation.

We employ according to B2B contracts (service agreements).

Benefits for employees include:

• Flight to the chosen country.
• Accommodation during paperwork processing.
• Assistance with opening a bank account and obtaining residence permits.
• Family relocation support (dependents).

Employees may choose an alternative relocation method to another country, with Tabby reimbursing up to $5,000 of verified costs upon establishing a legal entity and bank account.

What you can expect

• Flexible working hours based on mutual trust.
• Autonomy and responsibility from day one.
• Impactful work influencing career development.
• Participation in stock options program.
• Health insurance coverage.

We are committed to creating an inclusive, high-performing workplace supporting diverse backgrounds.

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

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology