SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity.
Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats.
We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in San Francisco, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world.
Responsibilities
As an Operational Risk Analyst, you will be involved in supporting the risk operations by constantly monitoring risk indicators across large datasets and providing timely response for any risk related escalations. The efforts you provide will contribute towards optimizing fraud detection processes and creating business value by enabling trust for our clients. Responsibilities include:
- Monitor any new or existing implementations and/or deployments relating to risk, keeping up to date with the latest metrics of our clients and their respective potential fraud trends and analyses.
- Timely response to alerts for any risk related escalations.
- Support any investigations on potential issues such as changes to clients’ metrics (e.g., sudden dip or spike).
- Manage various programs in reducing overall risk to platform and follow-through on action items with respective stakeholders.
- Collaborate with process owners to ensure proper documentation of policies and procedures applicable to the key controls of significant business processes.
- Review potential gaps and areas for improvement from policy development to enforcement execution.
- Propose improvements to existing controls and new mechanisms to deal with emerging risks.
Requirements
- 1 – 3 years of experience as a hands-on analyst with risk knowledge
- Minimum Bachelor’s Degree in Business Administration, Statistics, Mathematics, or other related fields
- Meticulous and exhibit great time management skills
- Possess strong communications skills
- Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud
- Experience in using business intelligence tools such as Microsoft Excel
