Fraud Detection Analyst

Kredivo Group; Jakarta Pusat; Sur place; IDR 72 000 000 - 144 000 000; Plein temps

Résumé du poste

Kredivo Group is seeking a Fraud Reviewer to analyze high-frequency transaction data and user behavior to detect fraudulent or high-risk transactions. You will review suspicious activity daily, investigate merchants, assess new registrations, and monitor brand-related fraud across channels.

The role requires a bachelor’s degree, at least 2 years in fraud detection, strong analytical skills, and solid communication. SQL experience is a plus for data-driven investigations.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• At least 2 years experience in fraud detection or investigation.
• Strong analytical skills with attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a fast-paced environment and meet deadlines.
• Have experience in SQL is a plus.

Responsabilités

• Review suspicious transactions on a daily basis and take appropriate action.
• Conduct thorough investigations into merchants flagged for suspicious behavior or high-risk activities.
• Assess new merchant registrations to identify any potential risk factors
• Investigate hack complaints reported by users
• Monitor social media platforms for fraudulent activity related to our brand and take necessary steps to report and mitigate risks
• Review apps installed by users for any signs of suspicious activity or potential security risks

Connaissances

Strong analytical skills

Excellent communication

Attention to detail

Fast-paced environment

Formation

Bachelor's degree in related field

Outils

SQL

Description du poste

Kredivo Group is seeking a Fraud Reviewer to analyze high-frequency transaction data and user behavior to detect fraudulent or high-risk transactions. You will review suspicious activity daily, investigate merchants, assess new registrations, and monitor brand-related fraud across channels.

The role requires a bachelor’s degree, at least 2 years in fraud detection, strong analytical skills, and solid communication. SQL experience is a plus for data-driven investigations.