Data Scientist (Risk)

Responsibilities

• check_circle Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.
• check_circle Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
• check_circle Build and manage scalable data marts in BigQuery to support model development and analytical needs.
• check_circle Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).
• check_circle Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
• check_circle Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).
• check_circle 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.
• check_circle Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).
• check_circle Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
• check_circle Advanced knowledge of SQL, with the ability to work effectively with large datasets.
• check_circle Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
• check_circle Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
• check_circle Fluency in English
• check_circle Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
• check_circle Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
• check_circle Prior experience working with financial datasets and a strong understanding of risk management principles.

Benefits

• check_circle Full-time B2B contract
• check_circle Fully remote setup
• check_circle Up to 20% tax allowance
• check_circle 22 paid leave days annually
• check_circle Stock options (ESOP) in a fast-scaling, pre-IPO company
• check_circle Flexi benefits you can use for wellness, travel, or learning
• check_circle Work alongside a high-performing, international engineering team in a global fintech unicorn

About the company