Operational Risk Specialist  

Job Descriptions

1. Collect, compile and validate data from various sources to ensure quality and compliance of all KYC/Automation/Anti-Fraud/Non Credit Support activities including but not limited to call monitoring and evaluating performance of collection agents to ensure adherence to policies, procedures and regulatory requirements.
2. Develop predefined evaluation criteria to assess the quality, accuracy, and professionalism of KYC/Automation/Anti-Fraud/Non Credit Support Agents interactions with customers.
3. Collaborate with stakeholders to ensure the availability, integrity and quality of the KYC/Automation/Anti-Fraud/Non Credit Support data & reporting for internal and/or regulator
4. Perform comprehensive assessment and oversight on operational risk within KYC/Automation/Anti-Fraud/Non Credit Support including process deficiencies, technology vulnerabilities and human errors.
5. Responsible for oversight operational risk management and activities in area of KYC/Automation/Anti-Fraud/Non Credit Support through communicating, validating and monitoring on the implementation of operational risk frameworks, policies and tools to ensure the effectiveness.
6. Conduct Risk Control and Self-Assessment (RCSA) on regular basis to minimize operational risk and maintain integrity of KYC/Automation/Anti-Fraud/Non Credit Support process.
7. Manage and investigate operational risk incidents, track root causes and develop action plans to avoid future occurrences.
8. 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 services, collections environment and unsecured loan / financing (credit card, personal loan, paylater).
3. Strong understanding of regulatory compliance related to collections 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 preferrable.
6. Fluent in written & oral English.
7. Willing to take on new challenges and work in a fast-paced environment.