Role Description:

Responsible for Collecting & Analyzing data to provide valuable insights that support executing Continuous audit procedures during Specific period of time to ensure the efficiency of applied internal control for all bank branches and sectors.

Core Responsibilities:

•Participate in Building out a data analytics program within the CA

department through the following: Set realistic and achievable

milestones to roll out the program and recommend tools and

technology to help execute the program.

•Execute and maintain the data analytics framework targeting

anomalies, fraud, errors, and other risks through collaboration with

CA team and business owners.

•Gather and analyze data in support of Internal Audit projects, scrub

data to ensure accuracy of reporting, quickly and accurately deliver

applications and analysis constantly exceeding requester

expectations within internal audit.

•Working on Developing an understanding of data sources, systems

and current analytic capabilities & acquiring new data analytics and

automated Audit tools.

•Implement AI driven audit strategies to enhance the efficiency and

effectiveness of internal audit processes, leveraging predictive

analytics to identify risks, anomalies, and patterns in financial data,

transactions, and operational activities.

•Deploy Predictive Models and machine learning algorithms to

analyze large volumes of audit data, forecast potential audit

findings, and prioritize audit activities based on risk assessments

and predictive insights.

Qualifications:

• Bachelor s degree in computer science/Data Science /MIS/Business Analytics or similar fields.
• Minimum 8 Years of Experience for managerial level in audit or risk management in a reputable financial institution.
• Strong programing /scripting experience in retrieving and analyzing data using various data analytics software and visualization tools, eg : SQL, Micro strategy, SAS PowerShell, Spitfire, Power BI, Tableau etc.
• Extensive courses in auditing, CIA is a plus.
• Proven experience in database querying, writing procedures complex joins and index.
• Proven experience with data acquisition, cleansing, manipulation, normalization and analysis technologies inclusive of Microsoft SQL Server, SQL, Oracle or DB 2