Risk Analyst
About the job
- At least 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 another related field.
- Experience handling large-scale unstructured data.
- Experience using business intelligence tools such as Microsoft Excel, Tableau, and Qlik Sense.
- Experience in SQL or other data handling tools is a bonus.
- Ability to take initiative in fast-moving and dynamic environments and take timely action to prevent fraud risk.
- Handle the end-to-end process of data analysis, deriving insights, summarizing findings, and presenting recommended actions to stakeholders to stay ahead of new and unknown fraud.
- Monitor new or existing risk-related implementations and deployments, keeping up to date with client metrics and potential fraud trends and analyses.
- Respond promptly to risk-related escalation alerts.
- Investigate potential issues in depth, such as sudden dips or spikes in client metrics, and work with relevant stakeholders to ensure timely resolution.
- Optimize fraud detection by identifying emerging fraud trends through data-driven analysis of complex, large datasets such as device metadata, user data, and payment data; propose measures to address them and prevent future occurrences.
- Experience in SQL or other data handling tools.
About the company
What SHIELD does: SHIELD provides risk intelligence for online businesses, helping global organizations such as inDrive, Alibaba, Meesho, TrueMoney, and Maya stop fraud, build trust, and drive growth. How its product works: It uses AI and explainable machine-learning models to monitor transactions and user behavior, generate risk scores, and reveal the reasons behind decisions so teams can understand why something is flagged and take appropriate action against new and unknown fraud. How SHIELD differs from competitors: Unlike some risk tools that offer opaque scoring, SHIELD emphasizes explainability and transparency, scales across international online markets, and targets a broad set of online businesses to prevent evolving fraud while supporting trust and growth. What SHIELD’s goal is: To help online companies stay ahead of fraud and grow by making trust-based, data-driven decisions at every step of the customer journey.
Company Size
201-500
Company Stage
Series B
Total Funding
$25.5M
Headquarters
Singapore, Singapore
Founded
2008
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Simplify's Take
What believers are saying
- In 2026, SHIELD showcased customers including inDrive, TrueMoney, OLX, Maya, and MPL.
- SHIELD’s Trust Awards and compliance-suite messaging widen upsell opportunities beyond core fraud detection.
- 2024-2026 partnerships in fintech, ride-hailing, gaming, and metaverse expand proof across verticals.
What critics are saying
- Competitors can commoditize device intelligence, squeezing pricing and forcing feature wars by 2026.
- Reliance on commissioned case studies risks credibility if new customers do not replicate inDrive results.
- If enterprise fraud teams consolidate onto platform suites, SHIELD becomes a replaceable point solution.
What makes SHIELD unique
- SHIELD’s device-first intelligence spots fraud rings before KYC, payments, or account creation.
- Its privacy-preserving fingerprinting uses no PII, matching regulators across global markets.
- Forrester’s 2024 inDrive study quantified $104.6 million benefits and 1377% ROI.
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Benefits
- Remote Work Options