Fraud Ops Lead — Payments Verification & Risk

Citigroup Inc.; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Citi in Malaysia is seeking a Fraud Ops Analyst 2 to supervise daily fund transfer authentication and verification, ensuring timely review and approval before payment release.

You will serve as a control point to prevent unauthorized transactions, support investigations, and provide coaching to the team.

The role requires a bachelor’s in a related field and 2–4 years of fraud analytics experience, with strong SQL and data visualization skills.

Qualifications

• Bachelor's degree in Banking, Finance, Business, Risk Management, or related field.
• 2–4 years of experience in fraud analytics, fraud operations, or financial crime risk within banking or financial services.
• Strong analytical and quantitative skills with proficiency in SQL, Excel, and data visualization tools.
• Strong communication skills and ability to manage workflows within a high‑risk and fast‑moving fraud environment.

Responsibilities

• Oversee day-to-day MPIP operations and workflow management.
• Ensure payment verification requests are completed accurately and within timelines.
• Monitor transaction queues and workload distribution.
• Act as first level escalation point for operational issues.
• Review high-risk, complex or escalated payment requests.
• Prepare daily, weekly and monthly operational reports.
• Provide guidance and coaching to team members.
• Assist with onboarding and training of new hires.

Skills

SQL

Excel

Tableau

Power BI

Education

Bachelor's degree in Banking, Finance, Business, Risk Management, or related field

Job description

Citi in Malaysia is seeking a Fraud Ops Analyst 2 to supervise daily fund transfer authentication and verification, ensuring timely review and approval before payment release.

You will serve as a control point to prevent unauthorized transactions, support investigations, and provide coaching to the team.

The role requires a bachelor’s in a related field and 2–4 years of fraud analytics experience, with strong SQL and data visualization skills.