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Integrated Financial Crime Data Scientist - Barclays
Data Scientist
Data Scientist focused on financial crime detection, building advanced machine learning and statistical models to support business decisions, collaborating with tech teams to deliver scalable analytical solutions.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning and statistical models to detect and prevent financial crime.
- Collaborate with cross‑functional teams to define data and infrastructure requirements for analytical solutions.
- Implement end‑to‑end data pipelines, ensuring data quality, documentation, and reproducibility.
- Translate complex business problems into analytical frameworks and communicate insights to stakeholders.
- Maintain and optimize model performance, monitoring for drift and updating as needed.
Requirements
- Strong programming skills in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Proven expertise in statistical modeling, feature engineering, and model evaluation.
- Experience with SQL and relational databases for data extraction and manipulation.
- Familiarity with cloud platforms (e.g., AWS, Azure) and data engineering tools.
- Excellent problem‑solving skills and ability to communicate technical concepts to non‑technical audiences.
Skills
pythonmachine learningdata analysissql