Job Responsibilities
- 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.
- Develop predefined evaluation criteria to assess the quality, accuracy, and professionalism of KYC/Automation/Anti-Fraud/Non Credit Support Agents interactions with customers.
- 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
Perform comprehensive assessment and oversight on operational risk within KYC/Automation/Anti-Fraud/Non Credit Support including process deficiencies, technology vulnerabilities and human errors.
- 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.
- 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.
- Manage and investigate operational risk incidents, track root causes and develop action plans to avoid future occurrences.
- Communicate findings and insights to various stakeholders, including senior management and related departments for timely risk mitigation.
Job Requirements
- Bachelor's / Master's Degree in Computer Science/IT/Statistics/Engineer/ Mathematics / Statistics / Actuary or any other related fields.
- Several years of experience in operational risk management, preferably in a financial services, collections environment and unsecured loan / financing (credit card, personal loan, paylater).
- Strong understanding of regulatory compliance related to collections activities.
Familiar with risk assessment methodologies and tools.
- Proficient in writing SQL queries and / or python or other data science programming language is preferrable.
- Fluent in written & oral English.
- Willing to take on new challenges and work in a fast-paced environment.
