Fraud Analyst Associate

RecruiterPal

Indonesia

Presencial

IDR 60.000.000 - 120.000.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

ALTO Network is seeking a Fraud Analyst to support detection, prevention, and investigation of suspicious activity. You will monitor transactions, analyze data, and flag potential fraud using tools like SQL, Excel, and Splunk.

The role involves supporting investigations and ensuring regulatory compliance. Candidate will work with AML/KYC regulations, data visualization, and basic data modeling to identify patterns and report findings.

Formación

  • AML and KYC regulations.
  • Fraud reporting requirement.
  • Data analysis.
  • Data modeling.
  • Data visualization.

Responsabilidades

  • Assist in monitoring transactions, analyzing data, and identifying patterns or anomalies that may indicate fraudulent activity.
  • Use fraud detection tools and techniques to flag suspicious transactions or behavior.
  • Conduct basic data analysis to review transactional data, customer profiles, and financial records for potential fraud indicators.
  • Support fraud investigations by gathering evidence, conducting research, and assisting in interviews with suspects or witnesses.
  • Follow investigative procedures and protocols under the guidance of senior analysts.
  • Assist in ensuring compliance with anti-fraud regulations, industry standards, and internal policies.
  • Help in preparing regulatory reports and documentation as needed

Conocimientos

AML & KYC regulations
Fraud reporting
Data analysis
Problem-Solving

Herramientas

SQL
Excel
SAS
R
Python
Splunk

Descripción del empleo

COMPANY DESCRIPTION

ALTO Network is a leading payment infrastructure provider as well as the pioneer in payment solution by always bringing the most innovative and impactful technology to connect merchants or financial institutions with their customers to grow their businesses nationwide and beyond.

RESPONSIBILITIES
Role Purpose

Supports the fraud detection, prevention, and investigation efforts within an organization

Responsibilities
  • Assist in monitoring transactions, analyzing data, and identifying patterns or anomalies that may indicate fraudulent activity.
  • Use fraud detection tools and techniques to flag suspicious transactions or behavior.
  • Conduct basic data analysis to review transactional data, customer profiles, and financial records for potential fraud indicators
  • Support fraud investigations by gathering evidence, conducting research, and assisting in interviews with suspects or witnesses
  • Follow investigative procedures and protocols under the guidance of senior analysts.
  • Assist in ensuring compliance with anti-fraud regulations, industry standards, and internal policies.
  • Help in preparing regulatory reports and documentation as needed
QUALIFICATIONS
  1. AML and KYC Regulations
  2. Fraud reporting requirement
  3. Data analysis
  4. Data modeling
  5. Data visualization
Non Technical
  • Problem-Solving
  • Adaptability
  • Time Management Skills
Technical
  • Data tools : such as SQL, Excel, SAS, R, Python, or similar tools.
  • Splunk
  • Data analytics
  • Machine learning
  • Big data technologies
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