Credit Assessment & Anti Fraud Operational Risk Specialist
- We foster an INNOVATION mindset
- We achieve results with EFFICIENCY and excellence
- We take pride in the QUALITY of our work
- We uphold INTEGRITY in all we do
- We embrace COLLABORATION to work across business lines and borders
Job Descriptions:
1. Collect, compile and validate data from various sources to ensure quality and compliance of all Credit Assessment & Anti Fraud activities to ensure adherence to policies, procedures and regulatory requirements.
2. Collaborate with stakeholders to ensure the availability, integrity and quality of the Credit Assessment & Anti Fraud data and reporting for internal and regulator.
3. Perform comprehensive assessment and oversight on operational risk within Credit Assessment & Anti Fraud including process deficiencies, technology vulnerabilities and human errors.
4. Responsible for oversight operational risk management and activities in area of Credit Assessment & Anti Fraud through communicating, validating and monitoring on the implementation of operational risk frameworks, policies and tools to ensure the effectiveness.
5. Conduct Risk Control and Self-Assessment (RCSA) on regular basis to minimize operational risk and maintain integrity of Credit Assessment process.
6. Manage and investigate operational risk incidents, track root causes and develop action plans to avoid future occurrences.
7. Communicate findings and insights to various stakeholders, including senior management and related departments for timely risk mitigation.
Job Requirements:
1. Bachelor’s / Master’s Degree in Computer Science/IT/Statistics/Engineer/ Mathematics / Statistics / Actuary or any other related fields.
2. Several years of experience in operational risk management, preferably in a financial service, Credit Assessment & Anti Fraud environment and unsecured loan / financing (credit card, personal loan, paylater).
3. Strong understanding of regulatory compliance related to Credit Assessment & Anti Fraud activities.
4. Familiar with risk assessment methodologies and tools.
5. Proficient in writing SQL queries and / or python or other data science programming language is preferred.
6. Fluent in written & oral English.
7. Willing to take on new challenges and work in a fast-paced environment.
