Faulu MFB - Internal Auditor Data Analytics

1. KEY TASKS AND RESPONSIBILITIES

KEY MEASURABLE GOALS

Number of data analytics scripts developed and deployed (e.g., SQL, Python, ACL, Power BI, etc.) per quarter.
Percentage of audits supported by data analytics.
Timely completion of audit assignments as assigned.
Accurate and timely preparation of audit reports on assigned audits.
Understanding of the business, internal controls and business processes per assignment.
Ability to professionally relate with the auditee during audit engagement and follow up.

KEY RESPONSIBILITIES

Design, develop, and execute data analytics routines to support audit planning, execution, and continuous monitoring.
Identify, extract, and integrate data from multiple sources (core systems, ERPs, data warehouses, third-party platforms).
Write, test, and maintain SQL queries, data mining scripts, and analytics.
Perform continuous auditing and monitoring analytics
Conduct internal audits as assigned by the Supervisor.
Assist in development of audit working papers.
Planning for assigned audit engagements.
Preparation of audit reports on the engagements assigned by the supervisor
Carrying out data analysis as assigned by the supervisor.
Carrying out adhoc investigations under supervision of supervisor.
Follow up of issues after audit assignment.
Conduct audit review on assigned units.
Any other duties as may be directed by the supervisor.

2. SKILLS, KNOWLEDGE & COMPETENCIES

Report writing skills
Broad knowledge of banking operations and systems
Good working knowledge of MS Office packages, Excel (Power Query, Pivot Tables, advanced formulas).
Working knowledge of data analysis and visualization tools, e.g., Power BI, Tableau, Qlik, etc. (Required)
Ability to write data mining and analytics scripts using SQL (Required)
A good understanding of databases structures, data flows and data models. (Desirable)
Honesty and high level of integrity
Attentive to detail
Ability to travel extensively around different parts of the country

3. QUALIFICATIONS & EXPERIENCE

Basic Degree in Business, Statistics, related field, Computer Science or IT related degree course
Data science concepts (Predictive analytics, Machine learning fundamentals (Desirable)
Plus, CPA2 or ACCA
CISA/CIA(Desirable)
At least two (2) years relevant experience (Credit/Operations)
Banking/Insurance experience (Desirable)

Opened Career