Fraud Analyst

VIDA Digital Identity; Daerah Khusus Ibukota Jakarta; On-site; IDR 504,456,028 - 840,760,047; Full time

Job summary

A digital identity company in Jakarta is seeking a Fraud Analyst to enhance its fraud detection capabilities. You'll analyze fraud patterns, collaborate with data scientists, and provide insights to prevent fraud effectively. The ideal candidate will have 2–5 years of relevant experience, strong analytical abilities, and proficiency in SQL. Join a mission-driven team dedicated to tackling real-world fraud challenges and influencing strategic decisions.

Qualifications

• 2–5+ years of experience in fraud analysis or data analysis.
• Strong analytical skills to interpret complex datasets.
• Proficiency in SQL; Python experience is a plus.

Responsibilities

• Analyze fraud trends and patterns across products.
• Investigate fraud cases including emerging typologies.
• Support fraud detection models and risk strategies.

Skills

Analytical skills

SQL proficiency

Python knowledge

Fraud analysis experience

Data interpretation

Job description

About VIDA

VIDA is a digital identity company on a mission to make trust simple, secure, and accessible in a digital-first world. We work with enterprises and institutions to prevent fraud, enable compliant growth, and protect users through cutting-edge identity verification and risk intelligence solutions.

As fraud continues to evolve in scale and sophistication—especially with AI-driven attack vectors—VIDA is building a world-class fraud and risk capability grounded in data, science, and real-world impact.

Role Overview

We are looking for a Fraud Analyst to join our Data Science organization and work closely with our Chief Data Science Officer. This role sits at the intersection of fraud intelligence, data analysis, and product impact.

You will analyze fraud patterns across identity verification, onboarding, and transaction flows; generate actionable insights; and help inform both model development and business decisions. This is a hands‑on role with high visibility and the opportunity to shape how VIDA detects, understands, and mitigates fraud at scale.

Key Responsibilities

Fraud Analysis & Intelligence

• Analyze fraud trends, patterns, and anomalies across VIDA’s products and client use cases.

• Investigate fraud cases and networks, including emerging and AI‑enabled fraud typologies.

• Own the end‑to‑end fraud rules lifecycle—from data analysis and hypothesis formation to rule design, testing/validation, deployment to production, and ongoing monitoring/optimization to prevent real‑world fraud.

Data & Model Collaboration

• Work closely with data scientists and engineers to support fraud detection models, rules, and risk strategies.

• Help define fraud labels, evaluation metrics, and feedback loops to improve model performance.

• Validate model outputs and translate results into business‑relevant insights.

Reporting & Communication

• Build dashboards, reports, and analyses for internal stakeholders, including Product, Risk, and Leadership.

• Present findings and recommendations to the CDSO and cross‑functional teams.

• Contribute to thought leadership, whitepapers, or external‑facing insights on fraud trends (as appropriate).

Process & Strategy Support

• Help improve fraud monitoring processes, investigation workflows, and documentation.

• Support experimentation and A/B testing of fraud controls or detection strategies.

• Stay current on global fraud trends, regulatory developments, and adversarial tactics.

Required Qualifications

• 2–5+ years of experience in fraud analysis, risk analytics, data analysis, or a related field.

• Strong analytical skills with the ability to interpret complex datasets and identify meaningful patterns.

• Proficiency in SQL; experience with Python is a strong plus.

• Experience working with fraud, risk, identity, payments, or trust & safety data.

• Ability to clearly communicate insights to both technical and non‑technical audiences.

Preferred Qualifications

• Experience in digital identity, fintech, payments, or cybersecurity environments.

• Familiarity with machine learning concepts and how fraud models are built and evaluated.

• Experience working with large‑scale or real‑time data systems.

• Exposure to global fraud patterns and cross‑market risk dynamics.

What We’re Looking For

• Curious, skeptical, and detail‑oriented—someone who enjoys uncovering "what’s really going on" in the data.

• Comfortable working in ambiguity and evolving problem spaces.

• Strong sense of ownership and accountability.

• Able to balance precision with pragmatism in a fast‑moving environment.

Why Join VIDA

• Work directly with senior leadership and influence core product and risk strategy.

• Tackle real‑world fraud problems with global impact.

• Collaborate with a highly capable, mission‑driven data and product team.

• Grow your expertise at the frontier of identity, AI, and fraud prevention.