Senior Fraud Data Analyst

Role Overview

• Investigate: Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights, making clear recommendations on how our customers can use your findings to build trust and mitigate risks.
• Analytics: Use your SQL and Python skills to increase our customers’ fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns and tune rules.
• Produce executive-level reports and own the end-to-end delivery of your recommendations by writing rules into the ThreatMetrix® decision engine.
• Consulting mindset: Apply effective questioning skills to quickly understand the business and fraud requirements of our customers, no matter their industry.
• Share best practices with fraud managers, risk analysts and project managers for combating persistent and emerging security threats.
• Customer focus: Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chat.
• Presentation: Use your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences with non-technical backgrounds
• Learn: Never stop developing your extensive knowledge of cybercrime and become a true SME – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc.
• Support: Continually disseminate your fraud expertise across the Data Science & Analytics team to support the growth of the team as a whole
• Innovate: Propose and support research that deepens our understanding of the most complex fraud risks. Stay ahead of the industry by continuously thinking of new ways to apply our tools and solutions to customer problems such as romance scams and unwitting money mules. Inspire the team to think outside the box.
• Collaborate: Collaborate with ThreatMetrix teams including Products, Engineering, Sales and other Professional Services colleagues to continually redefine best practices.

Requirements

• Experience analyzing, identifying, or mitigating fraud within Insurance and/or Healthcare environments
• Experience investigating financial crimes and fraud – account takeover, card not present, money laundering, social engineering etc.
• Knowledge or research involving cybersecurity
• browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.
• Experience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection
• Strong analytical skills (SQL, Python, etc.). Numerical degree preferred
• Experience of working on fraud strategies in large organizations
• Experience of working with fraud system management, such as ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc.
• Experience working with large and small datasets intuitively exposing meaningful correlations.
• Experience building external and executive reports
• A keen eye for detail, accuracy and strong critical thinking skills with advanced judgment capability
• Extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities.

Tech Stack

• Cyber Security
• Python
• SQL

Benefits

• Annual incentive bonus
• country specific benefits