Analyze credentialing applications ensuring compliance with legal and regulatory requirements at LexisNexis Risk Solutions. Make informed decisions while communicating with applicants and internal stakeholders.
About the role
- 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.
Benefits
- Private healthcare & dental insurance
- Generous work from abroad policy
- 2-for-1 share purchase plans
- EV Scheme to further reduce carbon emissions
- Extra festive time off
- Excellent family-friendly benefits
- Career growth with clear career paths
- Transparent pay bands
- Personal learning budgets
- Regular learning days
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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