Fraud Monitoring

RecruiterPal; Indonesia; Presencial; IDR 50.000.000 - 80.000.000; Jornada completa

Descripción de la vacante

ALTO Network is a leading payment infrastructure provider delivering innovative fraud detection and risk management solutions. This role focuses on real-time monitoring, investigation support, and compliance with anti-fraud regulations to protect customers and the company.

The ideal candidate holds a CFA, a bachelor's in relevant fields, and at least one year of fraud analysis experience. You will work in shifting 24/7 schedules, analyze transaction data, use fraud detection tools, and

Formación

• Bachelor degree in Criminology, Data Analyst, Computer Science, Information Technology, Cybersecurity, Accounting, Finance, or a related field.
• Minimum 1 year of experience in fraud analysis.
• Certified Fraud Analyst (CFA) certification.

Responsabilidades

• Ensure real-time detection (24/7) and prevention of suspicious transaction activities or fraud to protect payment systems, customers, and the company's reputation.
• 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.
• Detecting Transaction Anomalies in Real-Time (24/7).
• Follow investigative procedures and protocols under the guidance of senior analysts.
• Preventing Financial & Operational Losses.
• Assist in ensuring compliance with anti-fraud regulations, industry standards, and internal policies.
• Help in preparing regulatory reports and documentation as needed

Conocimientos

Problem Solving

Adaptability

Time Management

Analytical Thinking

Communication

Teamwork

Educación

Bachelor's degree in Criminology, Data Analyst, Computer Science, Information Technology, Cybersecurity, Accounting, Finance, or a related field

Herramientas

Fraud Detection System

Excel

Dashboard Monitoring

Splunk

Data Analytics

Machine Learning

Big Data Technologies

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

• Ensure real-time detection (24/7) and prevention of suspicious transaction activities or fraud to protect payment systems, customers, and the company's reputation.


• 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


• Detecting Transaction Anomalies in Real-Time (24/7)


• Follow investigative procedures and protocols under the guidance of senior analysts.


• Preventing Financial & Operational Losses


• Assist in ensuring compliance with anti-fraud regulations, industry standards, and internal policies.


• Help in preparing regulatory reports and documentation as needed

QUALIFICATIONS

• A bachelor's degree in Criminology, Data Analyst, Computer Science, Information Technology, Cybersecurity, Accounting, Finance, or a related field is often required


• At least 1 years of experience in fraud Analyst


• Certified Fraud Analyst (CFA)


• Willing to work Shifting (24/7)

Knowledge

• AML and KYC Regulations


• Fraud reporting requirement


• Transaction data analysis


• Ticketing/log system for recording alerts and incidents.


• Data visualization


• Familiar with Fraud Detection System and Dashboard Monitoring

Technical

• Data tools : such as Fraud Detection System, Excel, Dashboard Monitoring or similar tools.


• Splunk


• Data analytics


• Machine learning


• Big data technologies

Non Technical

• Problem-Solving


• Adaptability


• Time Management Skills


• Analytical thinking


• Communication


• Teamwork