Senior Manager – Audit Automation, Analytics & Models

• Bachelor’s Degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
  
• Professional certifications such as CISA, Certified Data Analyst (CDA), Certified Analytics Professional (CAP), or equivalent.
  
• 8+ years of experience in data analytics, audit automation, scripting, data transformation, Continuous Auditing and Controls Monitoring or related roles.
  

• Bachelor’s Degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
  
• Professional certifications such as CISA, Certified Data Analyst (CDA), Certified Analytics Professional (CAP), or equivalent.
  
• 8+ years of experience in data analytics, audit automation, scripting, data transformation, Continuous Auditing and Controls Monitoring or related roles.
  

1. Data Analytics, Automation, and Visualization Strategy:

• Develop and implement a comprehensive data analytics, automation, and visualization strategy for the audit function, aligning with the Group's overall audit objectives and risk management framework.
  
• Identify opportunities for leveraging data analytics, automation, continuous auditing methodologies, and data visualization to improve audit processes, risk assessment, monitoring capabilities, and communication of audit findings.
  
• Drive the adoption of advanced data analytics tools, techniques, and visualization platforms, including machine learning, artificial intelligence, predictive modeling, and interactive dashboards.
  
• Foster a data-driven culture within the audit teams, promoting the use of data-driven insights, decision-making, and effective communication through visualizations.
  

2. Continuous Auditing, Monitoring, and Reporting:

• Design and implement continuous auditing and monitoring programs to enable real-time risk assessment and timely identification of control deficiencies.
  
• Collaborate with IT teams and business units to establish data sources, data governance frameworks, and automated reporting mechanisms.
  
• Develop and maintain interactive dashboards, reports, and data visualization tools to provide real-time visibility into key risk areas, audit findings, and performance metrics.
  

3. Model Risk Audit Oversight:

• Lead and oversee the model risk audit team, ensuring the effective assessment and governance of models used for risk management, pricing, capital calculation, and decision- making processes.
  
• Develop and implement a comprehensive model risk audit program, covering model development, validation, implementation, and monitoring processes.
  
• Ensure compliance with relevant model risk management regulations, guidelines, and industry best practices.
  

4. Team Management and Development:

• Manage and mentor a team of data analytics professionals, model risk auditors, data visualization experts, and subject matter experts, providing guidance, training, and professional development opportunities.
  
• Foster a collaborative and innovative environment, encouraging knowledge-sharing and continuous improvement within the teams. 
  
• Identify and address skill gaps and develop training programs to enhance team capabilities in data analytics, automation, visualization, and model risk auditing.
  

5. Stakeholder Management and Collaboration:

• Collaborate with IT teams, business units, risk management functions, and other relevant stakeholders to understand their data needs, model requirements, risk profiles, and reporting/visualization requirements.
  
• Collaborate with IT teams to ensure data required to support audit automation, continuous audits and other data related initiatives is availed.
  
• Establish effective communication channels and promote transparency in the application of data analytics, automation, visualization, and model risk audit initiatives.