The Senior Manager – Audit Automation, Analytics
& Models is responsible for leading and driving the adoption of data
analytics, automation, continuous auditing methodologies, and data
visualization within the Group’s audit function. This role oversees the
development and implementation of data-driven audit approaches, leveraging
advanced analytics, modeling techniques, and visualization tools to enhance
audit efficiency, effectiveness, and risk coverage. Additionally, this role
leads the model risk audit team, ensuring the effective assessment and
governance of models used across the organization.
Reports to Group Head of Audit – Technology, Digital
and Data Analytics
Job Responsibilities
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.
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.
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.
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.
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.
Qualifications
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.
Competencies
Proven ability to lead and manage teams of data
analytics and auditing professionals.
Proficient in data analytics techniques, automation
tools, and continuous auditing methodologies.
Proficient in developing solutions using
visualization tools and scripting languages such as Python, R, SQL, Power BI,
Tableau etc.
Proficient in the use of Audit analytics tools such
as IDEA, ACL, Arbutus etc.
Familiarity with model risk management frameworks,
regulations, and industry best practices.
Excellent communication and interpersonal skills for
effective stakeholder management, team leadership, and presenting complex
analytical findings.
Analytical and problem-solving skills to identify and
address complex data-driven audit challenges and provide actionable solutions.
Ability to travel domestically and internationally as
required.
Results orientation
High integrity and strength of character
How To Apply