Descrição
This individual will be responsible for the following:
- Drive innovation, identify risks and gain insights across the audit risk areas using analytics.
- Contribute to the design, development, testing and documentation of analytical procedures (includes data sourcing, data preparation, data transformation, and modelling) to assist in population and scoping analysis, sampling, testing, and issue impact justification.
- Contribute to the design and implementation of effective continuous monitoring and auditing strategies.
- Work closely with key stakeholders to understand data flow, data points, and advise on how they can be leverage in the design of data analytical solution.
- Provide insight and guidance on the interpretation of reported exceptions/analytics outputs so that appropriate actions can be taken by the audit teams.
- Embrace the agile philosophy and continuously seek feedback for continuous improvement.
- Display exemplary conduct and live by the Values and Code of Conduct.
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
- Effectively and collaboratively identify, escalate, mitigate, and resolve risk, conduct and compliance matters.
- A minimum of 4 years of experience in a data analysis role preferably with internal audit, a risk function, a control function and/or previous experience in analysing business processes in a financial services environment
- Previous experience in the auditing, risk, fraud would be a significant advantage
- Working knowledge of data analysis software good understanding of data systems and data query and coding language methods, such as SQL, SAS, Python and/or R
- Experience with metrics and reporting using visualisation tools such as Tableau, Power BI or similar tools
- Good understanding of analytics and techniques, and proven ability to understand problem statements and identify opportunities for use of analytics
- Knowledge of basic statistics (Correlation, Regression)
- Outstanding project management and analytical skills with an ability to multi-task and manage competing priorities with a track record in creative and successful problem-solving
- Highly entrepreneurial with a high level of energy, dedication, and an unrelenting drive to deliver value, with a track record in creative and successful problem-solving
- Outstanding communication skills, both oral and written
- Ability to participate within a multi-disciplinary team and be a strong team player
- A Bachelor's Degree in Computer Science, Management Information Systems or Business (e.g., Accounting, Business Administration, Economics, Finance, Management, Statistics) is preferred