Internal Audit Analytics Specialist

3 weeks ago


Johannesburg, South Africa Absa Bank Limited Full time

Bring your possibility to life Define your career with us
- With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.Job Summary

The core responsibilities of the Data Analytics Specialist are to:

- Execute scoped work (as data scientist and/or data analyst)
- Drive advancement and development in the analytics space through defined strategic initiatives
- Act and deliver in accordance with Internal Audit plans, methodologies, policies and procedures
- Able to adapt to change with an agile working environment

**Job Description**:
Key Accountabilities

Accountability: Delivery
- Arrange access to data warehouses and regularly required data sources.
- Arranging the secure receipt of data files from business via multiple channels.
- Creation of a data dictionary including definitions and availability (where appropriate).
- Build and maintain common data sets regularly required by audit delivery teams.
- Assist with data cleaning and preparation for audit delivery teams.
- Build and maintain a library of re-usable automated auditing programmes and functional specifications.
- Develop sustainable and re-useable Data Analytics models, programs and dashboards to improve the efficiency of ABSA Group Internal Audit and to improve audit coverage.
- Development of data analytics models and programmes.
- Support audit delivery teams with the development of complex/insightful data analytics tests.
- Adhering to data transfer and security requirements.

Accountability: Engagement and Strategy Management
- Executing on delivery of strategic initiatives.
- Support audit delivery teams with the identification and delivery of analytics solutions.
- Provide training to audit staff on how to develop and execute basic analytics programs.

Accountability: Stakeholder Management
- Build relationships with data warehouse stakeholders and data providers.
- Share knowledge with Internal Audit colleagues and peers in the business. Be open to learn from others through feedback given to you.
- Treat all colleagues fairly, regardless of background or circumstance.
- Be comfortable to challenge others; be prepared to be challenged.
- Update the Data Analytics Champions and Data Analytics Leads with progress of development.
- Build relationships with key clients including data warehouse stakeholders and business MI teams.
- Build strong relationships and mutual trust with all internal stakeholders (i.e. audit teams).
- Understand the needs of client/customer and make decisions using this knowledge.

Accountability: Knowledge Management
- Own and drive personal learning to support achievement of career aspirations.
- Improve technical knowledge through self-learning or training including mandatory CPE requirements.
- Knowledge sharing with Internal Audit colleagues and peers in the business.
- Develop/implement data analytics driven business-monitoring programmes to support the Internal Audit teams.
- Research & Development of data analytics tools and trends to bolster the team's knowledge
- Where applicable, attend conferences and training to grow the awareness and knowledge base around Analytics and/or Internal Audit.

Accountability: Decision-making and Problem Solving
- Develop analytics for all areas of the audit process (risk assessment, controls testing and outcomes testing), as well as using analytics as a tool to support processes and procedures throughout the process.
- Update the Data Analytics Director and audit team with progress and observations
- Proactively take on additional tasks as requested by Vice Presidents / Directors / Managing Directors.
- Suggest practical ways of improving audit work through the use of analytics.

Role / Person Specification

Education and Experience Required
- B Degree (Commercial, Informatics, Statistics, Computer Science, Applied Mathematics)
- Higher Diploma/Certification in Data Analysis or Software Development
- Programming / software development experience
- Knowledge of data Visualisation/Dashboards tools
(To name a few: Qlik, Tableau, PowerBI, R, Python)
- 5 years technical experience
- Relevant professional qualifications or certifications
(To name a few: Statistics, Data Analysis, Data Mining, SAS Certification, DBMS, SQL, PERL, TERADATA, Data warehouse, R, Python, Machine Learning) (strongly preferred)
- Banking Experience
- Experience with advanced analytics
(To name a few: applied machine learning, prescriptive analytics, using neural networks and decision trees, development and/or execution of software robots) (strongly preferred)
- Knowledge about new and emerging data analytics technologies (preferred)
- Practical financial services industry knowledge
- Experience in risk based auditing or risk/control activities (preferred)

Knowledge & Skills:

- Extensive


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