Data Labelling Analyst

Trust & Safety Data Analyst | Fraud Detection & AI Training

Location: Quang Trung Software City, District 12, Ho Chi Minh City
Working Time: 5 days/week, 24*7 Shift. Be flexible
Language Proficiency: English (B2 level)
**Open only to Vietnamese candidates

About the job
The Role: To conduct high-quality data analysis and labelling of user login behaviours to identify fraud patterns and provide ground-truth data for the improvement of machine learning models.

Duties and Responsibilities
Perform deep-dive analysis of user login behaviors to distinguish between benign activities and malicious patterns.
Generate high-quality Account Takeover (ATO) labels to serve as ground truth for machine learning training sets.
Conduct root-cause analysis on anomalous login data to identify emerging fraud trends.
Collaborate with engineering teams to provide feedback on model false positives and negatives.

Your Skills and Requirements
Mid-level or senior candidates, with 2-3 years of experience in Data Analysis
Skills: Strong analytical skills with a proven track record in pattern recognition and data labeling workflows.
Language: B2 English proficiency (preferred).
Mindset: Ability to strictly adhere to SOPs and rapidly master proprietary internal analysis platforms.

Benefits
Competitive salary + performance-based bonus + 100% salary during probation + 13th-month salary.
14 days of annual leave.
Equipment:
Access to proprietary internal analysis platforms and secure data environments will be provided.
Desktops and dual-monitor setups may be provided by the vendor
Health Insurance, Social Insurance + Aon Health Care.
Career development opportunities in a professional and dynamic environment.
Opportunity to work with top industry experts and talented colleagues.
Participation in engagement and well-being activities: Company events, Happy Day,...

Seniority level
Mid-Senior level
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