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Audit Manager – Data Analytics and Automation at

3 months ago

Nairobi, Nairobi Area, Kenya Equity Bank Kenya Full time
Equity Bank Limited (The "Bank") is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank's registered office is 9th Floor, Equity Centre, P.O. Box Nairobi

Job Purpose:
Our purpose is transforming lives, giving dignity, and expanding opportunities for wealth creation.


The Audit Manager – Data Analytics and Automation is responsible for driving the adoption of data analytics, automation, and continuous auditing methodologies within the Group's audit function.

This role plays a critical part in developing and implementing data-driven audit approaches, leveraging advanced analytics techniques, automation tools, and visualization platforms to enhance audit efficiency, effectiveness, and risk coverage.

Reports to Senior Manager – Audit Automation, Analytics & Models

Job Responsibilities:

Data Analytics and Automation:
Develop and implement data analytics solutions to support audit processes, including risk assessment, control testing, and data analysis.

Identify opportunities for automating audit procedures and tasks, and design automated workflows and scripts to improve efficiency and consistency.

Collaborate with auditors and subject matter experts to understand audit requirements and translate them into data analytics and automation solutions.

Perform data extraction, transformation, and analysis using various data analytics tools and techniques, such as SQL, Python, or R.

Develop and maintain data analytics models, scripts, and workflows to support continuous auditing and monitoring processes.

Audit Visualization and Reporting:

Design and develop interactive dashboards, reports, and data visualization tools to communicate audit findings, risk assessments, and performance metrics effectively.

Collaborate with auditors and stakeholders to understand their reporting and visualization requirements.
Ensure data visualizations are accurate, insightful, and easy to interpret for various audiences.
Continuously enhance data visualization and reporting capabilities to improve the communication and understanding of audit results.

Continuous Auditing and Monitoring:
Contribute to the design and implementation of continuous auditing and monitoring programs.

Develop and maintain automated scripts, queries, and dashboards to enable real-time monitoring of key risk areas and control deficiencies.

Collaborate with IT teams and business units to establish data sources, data governance frameworks, and automated reporting mechanisms.

Technical Guidance and Training:
Provide technical guidance and support to auditors in utilizing data analytics tools, automation scripts, and visualization platforms.
Develop and deliver training programs to enhance the data analytics and automation skills of the audit teams.

Stay updated with emerging data analytics techniques, automation tools, and visualization best practices, and share knowledge with the team.


Stakeholder Collaboration:

Work closely with IT teams, business units, and other relevant stakeholders to understand their data needs, processes, and reporting requirements.

Foster effective communication and collaboration to ensure the successful implementation of data analytics, automation, and visualization initiatives within the audit function.

Requirements
Qualifications

Bachelor's degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline. Advanced degree(s) preferred.
Professional certifications in data analytics, audit automation, or data visualization are desirable.
Minimum of 5 years of experience in data analytics, audit automation, continuous auditing, or related roles.

Competencies:
Proficiency in data analytics languages (e.g., SQL, Python, R) and visualization tools (e.g., Power BI, Tableau, QlikView).
Proficient in the use of Audit analytics tools such as IDEA, ACL, Arbutus etc.
Familiarity with audit methodologies, processes, and industry best practices.
Excellent analytical and problem-solving skills, with the ability to translate business requirements into data- driven solutions.
Strong communication skills, both written and verbal, for effective reporting, training, and collaboration with stakeholders.
Ability to work in a team environment and collaborate with cross-functional teams.
Willingness to travel domestically and internationally as required.
Results orientation
High integrity and strength of character