Fraud Prevention Analyst

Amartha Financial; Jawa Barat; Hybrid; IDR 167,400,000 - 290,160,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Hybrid work

Professional development

Job summary

Amartha Financial is seeking a Fraud Prevention Analyst to join our depperfect team in West Java. The role focuses on identifying and investigating fraudulent activity across insurance products, leveraging SQL, Python, and R, and developing detection models to safeguard assets.

A strong analytical mindset and collaboration with claims and investigations teams are essential. The ideal candidate holds a bachelor’s degree in a related field, 2–4 years of fraud detection experience, and demonstrates

Qualifications

• Bachelor's degree in data-related field.
• 2–4 years of experience in fraud detection or data analysis.
• Proficiency in SQL, Python, and R.
• Experience with fraud detection systems is a plus.

Responsibilities

• Analyze large datasets to identify suspicious transactions, patterns, and potential fraud indicators.
• Develop and implement rules-based and machine learning models for fraud detection.
• Investigate flagged cases, gather evidence, and prepare detailed reports for further action.
• Collaborate with internal teams to resolve fraud cases.
• Stay updated on fraud schemes, technologies, and regulatory changes.
• Recommend improvements to fraud detection systems and processes.

Skills

SQL

Python

R

Fraud detection

Data analysis

Education

Bachelor's degree in Data Science / Statistics / Computer Science / Finance

Tools

Fraud detection systems

Job description

Showing 20 Fraud Prevention Analyst jobs in Jakarta Timur

Fraud Prevention Analyst

Our client is looking for a sharp and detail-oriented Fraud Detection Analyst to join their team in Depok. This role is essential in safeguarding the company’s assets by identifying and investigating fraudulent activities across various insurance products. You will employ advanced data analysis techniques and utilize specialized tools to detect suspicious patterns and prevent financial losses. This is a critical position for an individual passionate about data integrity and combating financial crime within the dynamic West Java market.

About the Role

Our client is looking for a sharp and detail-oriented Fraud Detection Analyst to join their team in Depok. This role is essential in safeguarding the company’s assets by identifying and investigating fraudulent activities across various insurance products. You will employ advanced data analysis techniques and utilize specialized tools to detect suspicious patterns and prevent financial losses. This is a critical position for an individual passionate about data integrity and combating financial crime within the dynamic West Java market.

Key Responsibilities

• Analyze large datasets to identify suspicious transactions, patterns, and potential fraud indicators.
• Develop and implement rules-based and machine learning models for fraud detection.
• Investigate flagged cases, gather evidence, and prepare detailed reports for further action.
• Collaborate with internal teams, including claims and investigations, to resolve fraud cases.
• Stay updated on the latest fraud schemes, technologies, and regulatory changes.
• Recommend improvements to fraud detection systems and processes.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Finance, or a related field.
• 2-4 years of experience in fraud detection, data analysis, or a related role, preferably within the insurance or financial services sector.
• Proficiency in data analysis tools and techniques (e.g., SQL, Python, R).
• Experience with fraud detection systems or statistical modeling is a strong plus.
• Excellent analytical, critical thinking, and problem solving skills.
• Strong written and verbal communication skills for reporting and collaboration.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and training in data analytics and fraud prevention.
• Flexible working hours and a hybrid work model.
• A challenging and rewarding work environment focused on innovation.