Security Threat Analyst
7 days ago
SHIELD is a cutting-edge fraud intelligence platform that empowers digital businesses worldwide to combat fake accounts and prevent fraudulent activity. Powered by SHIELD AI, our platform identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, enabling businesses to stay ahead of emerging threats.
We are trusted by leading companies like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in key locations around the world, we are committed to achieving our mission - eliminating unfairness to enable trust for the world.
Job SummaryAs a Security Threat Analyst, you will play a critical role in supporting risk operations by conducting in-depth data analysis to uncover fraud trends and patterns. Your insights will contribute towards optimizing risk management strategies and creating business value by enabling trust for our clients.
Key Responsibilities:- Conduct end-to-end process from data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders to stay ahead of emerging threats.
- Monitor new and existing implementations relating to risk, keeping up-to-date with the latest metrics of our clients and their respective potential fraud trends and analyses.
- Respond promptly to alerts for any risk-related escalations.
- Investigate potential issues such as changes to clients' metrics, communicate, and work with relevant stakeholders to ensure timely resolution.
- Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis in complex datasets such as device metadata, user data, payment data – and propose solutions to address them and prevent future occurrences.
To succeed in this role, you will need:
- 1-3 years of experience as a hands-on analyst with risk knowledge.
- A minimum Bachelor's Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields.
- Experience in handling large-scale unstructured data.
- Proficiency in using business intelligence tools such as Microsoft Excel, Tableau, and Qlik Sense.
- SQL skills or experience with other data handling tools are a plus.
- The ability to take initiative in fast-moving environments and take timely actions to prevent risk of fraud.
Our estimated salary range for this role is $90,000 - $120,000 per year, depending on location and experience. This is a competitive offer that reflects the value we place on your skills and expertise.
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