Fraud Analyst — Identity & Biometric Attack Defense

Fraud Analyst — Identity & Biometric Attack Defense (Jakarta) VIDA is a digital identity company on a mission to make trust simple, secure, and accessible in a digital-first world. We help enterprises prevent fraud, enable compliant growth, and protect users through identity verification, authentication, and risk intelligence.

We’re hiring a

Fraud Analyst

to join our

Data Science

organization and work closely with our

Chief Data Science Officer

to reduce fraudulent acceptance—especially against

biometric injection and AI-enabled attacks —using a mix of data analysis, device/network intelligence, behavioral signals, and risk strategy execution.

What you’ll do Investigate fraud patterns across onboarding, identity verification, authentication, and transaction flows Focus on

biometric injection/replay

and broader identity threats (ATO, synthetic identity, fraud rings) Turn insights into action:

rules/threshold tuning , step-up strategies, monitoring, and workflows Leverage

device intelligence ,

network/location signals , and

behavioral/session patterns

to detect attacks Partner with data scientists/engineers to improve labels, metrics, and model + rules performance Build dashboards and communicate clear recommendations to stakeholders

What we’re looking for 2–5+ years

in fraud analysis, risk analytics, trust & safety, or security analytics Strong analytical skills; proficient in

SQL

(Python/R a plus) Experience working with fraud/risk/identity/payments data and decisioning (rules or scoring) Able to communicate clearly and operate in ambiguity

Nice to have Experience with device intelligence / bot detection / risk decisioning platforms Familiarity with biometric security concepts (liveness/PAD, injection/replay threats) Experience with large-scale event data, dashboards, or graph/link analysis