
Risk Analytics Manager
3 weeks ago
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- Leverage data science tactics to identify and delineate behaviors into good user stories and bad user stories.
- Design and monitor the performance of macro and transactional fraud rules, e.g., the creation of end-to-end reporting, alerts, and monitoring processes for account activation and redemption activities using multiple data sources.
- Build advanced reports and dashboards with Power BI to visualize trends, highlight anomalies, and support near real-time business decisions.
- Develop and maintain a continuous monitoring system to assess the operational effectiveness of critical risk functions.
- Investigate, analyze, and develop rules to detect and prevent fraudsters from accessing EMEA DTC and B2B sites to exchange promised gift card codes.
- Coordinate EMEA spoof site detection and shutdown efforts with external vendors and internal risk teams.
- Manage and coordinate EMEA fraud investigations related to DTC and B2B sites.
- As EMEA B2B/B2C sites incorporate the new BHN payment architecture, manage performance to minimize manual risk reviews while maintaining approval rates near 100%.
Responsibilities:
- Leverage data science tactics to identify and delineate behaviors into good user stories and bad user stories.
- Design and monitor the performance of macro and transactional fraud rules, e.g., the creation of end-to-end reporting, alerts, and monitoring processes for account activation and redemption activities using multiple data sources.
- Build advanced reports and dashboards with Power BI to visualize trends, highlight anomalies, and support near real-time business decisions.
- Develop and maintain a continuous monitoring system to assess the operational effectiveness of critical risk functions.
- Investigate, analyze, and develop rules to detect and prevent fraudsters from accessing EMEA DTC and B2B sites to exchange promised gift card codes.
- Coordinate EMEA spoof site detection and shutdown efforts with external vendors and internal risk teams.
- Manage and coordinate EMEA fraud investigations related to DTC and B2B sites.
- As EMEA B2B/B2C sites incorporate the new BHN payment architecture, manage performance to minimize manual risk reviews while maintaining approval rates near 100%.
Qualifications:
- 5+ years of data analysis and modeling experience.
- Hands-on coding experience in a big data environment using SQL, SAS, Python, etc.
- Advanced data visualization skills.
- Strong analytical skills to identify patterns, trends, and insights, including risk/reward analytics.
- Ability to communicate analytical findings effectively through presentations.
- Experience working in volume-driven and time-sensitive environments.
- Proficiency with MS Office applications and MySQL.
- Strong organizational skills and excellent follow-through.
- Effective communication and interpersonal skills, capable of working with technical and non-technical teams.
- High emotional intelligence, proactive attitude, and creative problem-solving skills.
- Patient, diplomatic, and collaborative approach.
Education:
- BA/BS degree (preferred) or equivalent work experience.
Benefits:
We offer a competitive range of employee benefits designed to improve work-life balance, reduce stress, and foster a positive culture. Benefits include 23 days of annual leave plus additional days for special occasions, health insurance, life assurance, cycle scheme, employee assistance programs, recognition programs with rewards, and more. We also support hybrid working, discounts, social and sports events, and gym memberships.
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