Risk Data Scientist

👉Risk Data Scientist for Wio Bank (UAE)

We are looking for a Risk Data Scientist to support the development, monitoring, and continuous improvement of application, fraud, and other various risk models. This role requires strong analytical and technical skills, a deep understanding of risk data, and the ability to work with complex datasets to generate actionable insights and predictive features. The ideal candidate combines strong SQL, Python, and data manipulation skills with a solid understanding of feature engineering, model monitoring, and risk analytics in financial services.

Key Responsibilities
- Write complex and optimised SQL/Python scripts to extract, transform, and analyse large-scale datasets.
- Work with multiple types of structured and unstructured data, including: Transactional, Credit bureau, Customer application and Behavioural data.
- Design and maintain reliable data pipelines and analytical datasets.
- Perform full-cycle model development, including feature engineering, model training, validation, and performance evaluation.
- Support the deployment and implementation of scoring models into production in collaboration with engineering teams.
- Monitor model performance, stability, and predictive power over time.
- Conduct ad-hoc analysis to support risk, fraud, and business teams.

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