onsite
Fraud Data Analyst - RELX Group
Data Analyst
Analyze large datasets to detect and prevent fraud using Python, SQL, and machine learning techniques, delivering actionable insights and predictive models to enhance risk management.
About the role
Key Responsibilities
- Collect, clean, and analyze large volumes of transactional and behavioral data to identify fraud patterns and anomalies.
- Develop and maintain predictive models using machine learning algorithms to score and flag potential fraud cases.
- Collaborate with cross‑functional teams to integrate fraud detection insights into business processes and decision tools.
- Generate detailed reports and visualizations to communicate findings to stakeholders and support risk mitigation strategies.
- Continuously monitor model performance, refine features, and implement improvements to stay ahead of evolving fraud tactics.
Requirements
- Proven experience in data analysis and fraud detection, preferably in financial services or risk management.
- Strong programming skills in Python and proficiency with SQL for data extraction and manipulation.
- Hands‑on experience with machine learning libraries (scikit‑learn, TensorFlow, or similar) and model deployment.
- Excellent analytical, problem‑solving, and communication skills.
- Knowledge of data visualization tools (Tableau, Power BI, or equivalent) is a plus.
Skills
pythonsqlmachine learningdata analysis