Fraud Operations Specialist - AI-Driven Risk

FinTech Collective, LLC; Kuala Lumpur; On-site; MYR 60,000 - 120,000; Full time

Job summary

Gen in Kuala Lumpur is seeking a Fraud Operations Analyst to monitor and investigate potentially fraudulent activity across a range of products and payment channels. You will analyze account behavior, review disputes and chargebacks, and identify emerging risks that affect the business and customer experience.

You will collaborate with Risk, Data Science, Product, and Customer Care to improve fraud detection capabilities, optimize processes, and support AI-powered solutions in a fast-paced

Qualifications

• Bachelor's degree in a quantitative, analytical, business, or related field; equivalent experience considered.
• Experience in fraud operations, banking operations, dispute investigations or other financial services functions is preferred.
• Strong analytical and problem-solving skills with the ability to identify patterns, investigate anomalies, and make sound decisions based on available information.
• Comfortable working with data and technology; SQL, Excel, data analysis, automation tools, or AI-powered solutions are a plus.

Responsibilities

• Review and investigate fraud-related queues, including but not limited to account activity monitoring, payment transactions, account takeovers (ATO), disputes, chargebacks, ACH transactions, debit card activity, and bank reporting requests.

Skills

Analytical thinking

Problem solving

Communication

Detail oriented

Time management

Independent work

Data analysis

SQL

Excel

Automation tools

Education

Bachelor's degree

Tools

SQL

Excel

Automation tools

AI-powered solutions

Job description

Gen in Kuala Lumpur is seeking a Fraud Operations Analyst to monitor and investigate potentially fraudulent activity across a range of products and payment channels. You will analyze account behavior, review disputes and chargebacks, and identify emerging risks that affect the business and customer experience.

You will collaborate with Risk, Data Science, Product, and Customer Care to improve fraud detection capabilities, optimize processes, and support AI-powered solutions in a fast-paced