About the role:
The Level 1 FRAML Analyst is responsible for the first-line review and investigation of alerts generated from fraud detection and AML transaction monitoring systems. The role also supports customer onboarding by reviewing cases that fail straight-through automated eKYC processing. This ensures timely identification of suspicious activities, risk mitigation, and compliance with regulatory requirements and internal policies.
Key Responsibilities:
- Perform initial review and analysis of alerts generated from Fraud Detection and AML Transaction Monitoring systems.
- Investigate unusual or suspicious transactions, account behaviours, and customer activities, including but not limited to supporting NFP fund tracing and earmarking requests.
- Differentiate between genuine and suspicious activities using predefined rules, scenarios, and risk indicators.
- Escalate potential fraud cases or suspicious activities to Level 2 / relevant investigation teams with proper documentation.
- Ensure all alerts are reviewed and closed within defined Service Level Agreements (SLAs).
- Document investigation findings clearly, accurately, and in accordance with internal SOPs and regulatory standards.
- Conduct customer due diligence checks, including reviewing customer profiles, transaction history, and risk ratings.
- Review onboarding cases that fail automated eKYC straight-through processing and conduct manual verification to ensure compliance with regulatory and internal requirements.
- Support in identifying emerging fraud trends, typologies, and AML risks.
Key Requirements:
- A bachelor’s degree in any discipline.
- 1–3 years of experience in Fraud Detection, AML Transaction Monitoring, or Financial Crime operations (fresh graduates with relevant internship exposure may be considered).
- Basic understanding of AML regulations, fraud risk, and financial crime typologies.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
- Ability to work in a fast-paced, high-volume environment.
- Detail-oriented with a strong investigative mindset.
- Willingness to work on shifts.
JR00000577
