Lead Payment Fraud Analyst at Trainline mitigating payment fraud risks through data analytics and teamwork. Collaborating closely with various teams to enhance fraud prevention measures and reporting.
Responsibilities
Own and track key fraud, loss, and recovery metrics.
Spot trends and anomalies, and leverage tools like Ravelin, and internal partnership with Machine Learning teams to proactively mitigate risk.
Work closely with Chargeback Admins and Fraud Review Agents to respond to a changing payment fraud landscape, while balancing a low prevent rate for a high quality paying experience for Trainline customers.
Deliver timely and accurate internal and external reporting on fraud trends for senior leadership audiences.
Collaborate with key stakeholders to ensure fraud data strategies align with wider business goals.
Automate dashboards and reporting tools to streamline analysis.
Ensure compliance with data security and privacy standards.
Requirements
Proficiency in SQL, Python, R, or similar data analysis tools for analytics and visualization.
An understanding of predictive modeling, clustering, and classification techniques for fraud analytics.
Experience using BI and reporting tools such as Tableau or Power BI to create dashboards and reports.
Some familiarity with data pipelines and cloud platforms (e.g., AWS or Google BigQuery) is a plus.
Strong communication skills to collaborate effectively with fraud, finance, product, and engineering teams.
Experience managing data projects with timely delivery.
Knowledge of regulatory frameworks such as GDPR, PCI DSS, and PSD2, or similar fraud/data compliance requirements.
Experience in identifying and mitigating revenue leakage through fraud analytics.
A strong problem-solving and analytical mindset.
Attention to detail when analysing large datasets to detect fraudulent activity.
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