Audit Intern — Data Analytics & Risk Insights

Overall purpose and main responsibilities and duties of the role:

As part of the audit team, the intern will support the team in the audit Assignment works and assist in the recommendations follow-up process.

To assist in the execution of audit assignment works:

• Participate in the testing stage of the mission: assess the management of risks by performing tests of mitigating control design effectiveness and test the operational effectiveness of those controls.
• Produce good working papers, audit files, audit reports and reporting according to IA Head Office and IA London instructions
• Make recommendations for the improvement of controls and governance and, where possible, efficiency
• Oral presentation to the auditees and senior management of the branch
• To assist in following up of recommendations: maintain and establish regular business partnering throughout life time of open recommendation implementation.
• To assist in the development and enhancement of the use of data analytics techniques across the audit team
• Promote the use of data analytics in audit assignments, providing expertise during planning stage
• Design and develop innovative analytic solutions to enhance audit execution and provide meaningful insights to audit leadership and business stakeholders
• Contribute to data analytics methodology and corresponding reference materials
• Build data analytics/data mining scripts to automate processes or audit investigations, and dashboards to improve data visualization and analysis

Education:

Business school or engineer school major in Banking, Finance or other Master degree equivalent

Prior experience:

• Previous experience in the banking industry, within an External Audit or consulting company or an Internal audit department of top banks will be an advantage
• International experience in an English spoken country (as an Erasmus exchange or several months of working experience)
• Computer skills:
  Use of MS Office Pack (Word, Excel, PowerPoint…).
• Data Analytics skills and coding (Python). Data modelling and visualisation (Power BI, Tableau) would be an advantage
• Language skills:
  Fluent in English (Written and Verbal)
• French language fluency would be an advantage

Other background requirements :

• To be adaptable in a challenging environment
• To be curious & willing to learn & improve