Banking + 2 more
Description
- Bachelor’s degree in quantitative fields 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:
o data analytics
o audit automation
o continuous auditing
o or related roles.
- 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 Alteryx, IDEA, ACL 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
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, 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 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
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