Risk Analyst

About SHIELD

SHIELD is a leading fraud intelligence platform focused on device-first detection, empowering digital enterprises globally to combat fake accounts and fraudulent activities. Utilizing SHIELD AI, the company delivers top-tier device identification standards and actionable insights, trusted by industry giants like inDrive, Alibaba, Swiggy, Meesho, and TrueMoney. With offices spanning Los Angeles, London, Jakarta, Bengaluru, Beijing, and Singapore, SHIELD pursues its mission to eradicate unfairness and build trust worldwide.

Key Responsibilities

• Manage the complete cycle of data analysis pertaining to fraud, extracting meaningful insights, and compiling actionable recommendations for stakeholders to remain proactive against emerging fraud schemes.
• Oversee risk-related deployments and implementations, maintaining up-to-date awareness of client metrics and potential fraud patterns.
• Address risk alerts promptly, ensuring timely escalation and intervention.
• Conduct thorough investigations into anomalies such as abrupt changes in client metrics, collaborating closely with relevant teams to resolve issues efficiently.
• Enhance fraud detection capabilities by analyzing complex, extensive datasets—covering device metadata, user information, and payment details—and proposing effective preventative measures.

Qualifications and Requirements

• Between 1 and 3 years of practical experience as an analyst with solid understanding of risk.
• A minimum Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
• Proven ability to work with large-volume unstructured datasets.
• Proficiency in business intelligence tools such as Microsoft Excel, Tableau, and Qlik Sense.
• Familiarity with SQL or comparable data management software is advantageous.
• Demonstrated capability to take proactive initiative within fast-paced, dynamic environments and act swiftly to mitigate fraud risks.