Internal Control Manager

Summary:

We are looking for a results-driven professional with strong technical expertise and experience in internal controls and data analytics, ideally from the life insurance sector. This role will be responsible for identifying process and product risks using tools like ACL, SQL, Oracle, and AWS, and driving corrective actions through stakeholder collaboration. The role demands strong analytical thinking, risk acumen, and experience in building system-based controls and monitoring mechanisms.

Your Future Employer:

A well-established and fast-growing life insurance organization focused on excellence in operations, governance, and customer-centric solutions.

Key Responsibilities:

1. Design and implement automation for product and process features using ACL in alignment with policy terms and business approvals.
   
2. Identify system gaps and operational risks through data analytics; drive root cause analysis (RCA) and remediation in collaboration with IT and business teams.
   
3. Lead workshops and discussions with stakeholders to recommend preventive and corrective controls.
   
4. Establish and monitor action plans ensuring timely closure of identified issues.
   
5. Report operational loss impact based on analysis to the enterprise risk function.
   
6. Build and test System Integrity Checks (SICs) to flag potential control gaps or errors in business processes.
   
7. Ensure all SICs meet business requirements and are thoroughly tested for accuracy.
   
8. Conduct thematic reviews across critical business functions to assess and mitigate operational risks.
   
9. Organize regular meetings with process owners and leadership to provide updates and escalate key exceptions.
   
10. Guide team members in data analytics and review models developed by partners to ensure compliance with internal policies.
    

Requirements:

1. Masters degree (MBA or equivalent) with at least

   6 years of experience

   in internal controls, audit, or risk management—preferably in the life insurance sector.
2. Proven expertise in

   ACL (Audit Command Language)

   ,

   SQL

   ,

   Oracle

   , and

   AWS

   for data analysis and automation.
3. Strong understanding of insurance products, systems, and regulatory frameworks.
   
4. Proficiency in

   MS Office

   (Excel, Word, PowerPoint).
5. Excellent problem-solving, stakeholder management, and project execution skills.
   
6. Desirable: Working knowledge of

   Power BI

   ,

   Python

   , or additional certifications in analytics or cloud tools.