Data Analytics Audit Officer

City Savings Bank; Pasig; On-site; PHP 600,000 - 900,000; Full time

Job summary

City Savings Bank is seeking a Data Analytics Audit Officer to apply data science techniques for inspecting financial, operational, and system records to identify fraud risks, weaknesses, and inefficiencies.

You will extract and clean data, build automated audits, analyze transaction logs for anomalies, design risk dashboards, and collaborate with audit and finance teams to support the audit plan.

Qualifications

• Bachelor’s degree in Accountancy, Internal Audit, Information Systems, Computer Science, or Data Science.
• 2 to 5 years of experience in internal audit, data analytics, risk management, or compliance.
• Strong command of SQL, Excel, and data visualization tools like Power BI or Tableau; knowledge of Python or ACL is a plus.
• Certified credentials such as CIA, CFE, CISA, or CPA are preferred.

Responsibilities

• Data Extraction & Cleaning: pull large data sets from different systems, clean and verify accuracy.
• Audit Automation: build automated scripts, models, and tests for full-population data audits.
• Risk & Fraud Detection: analyze transaction logs for unusual patterns and control failures.
• Dashboards & Reporting: design visual reports, workpapers, and risk dashboards.
• Collaboration: work with audit and finance teams to respond to data requests and support audit plans.

Skills

SQL

Excel

Power BI

Tableau

Python

ACL

Education

Bachelor’s degree in Accountancy / Internal Audit / Information Systems / Computer Science / Data Science

Tools

Power BI

Tableau

Python

ACL

Job description

Data Analytics Audit Officer uses data science tools and techniques to inspect financial, operational, and system records, helping organizations find fraud risks, control weaknesses, and process inefficiencies.

Key Responsibilities

• Data Extraction & Cleaning: Pull large sets of operational or financial data from different systems, clean the data, and check it for accuracy.
• Audit Automation: Build automated scripts, models, and tests to run full-population data audits instead of manual sample testing.
• Risk & Fraud Detection: Analyze transaction logs to spot unusual patterns, fraud indicators, or control failures.
• Dashboards & Reporting: Design visual reports, workpapers, and risk dashboards using business intelligence tools.
• Collaboration: Work with audit and finance teams to answer data requests and support overall audit plans.

Qualifications & Skills

• Education: Bachelor’s degree in Accountancy, Internal Audit, Information Systems, Computer Science, or Data Science.
• Experience: 2 to 5 years of working experience in internal audit, data analytics, risk management, or compliance.
• Technical Skills: Strong command of SQL, Excel, and data visualization tools like Power BI or Tableau; knowledge of Python or ACL is a plus.
• Certifications: Professional credentials such as CIA, CFE, CISA, or CPA are preferred.