Internal Auditor
Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. Our Iconic Brands include PRADA, Miu Miu, Church's, Car Shoe and Pasticceria Marchesi and we are currently operating in more than 45 Countries, embracing employees of more than 100 nationalities. - Joining our Company means working in a creative and international environment, with teams of people motivated by curiosity and the quest for excellence. The engine of our success is the importance and value that we place on the talent and passion of our people leading to their own professional growth. **JOB PURPOSE
- She/He is responsible for managing all Group-level audit activities, as well as handling ad-hoc projects when requested. **RESPONSIBILITIES
- Supports management in developing the annual audit plan;
- Defines, as appropriate, specific audit programs for each activity outlined in the annual audit plan;
- Independently conducts audit interventions in administrative-accounting, operations, and regulatory compliance checks (e. g. , 262/05, 231/01, GDPR, 81/08, Anti-Money Laundering);
- Performs audit interventions using Data Analytics and Process Mining techniques;
- Prepares reports, according to defined standards, related to conducted audits (including the collection and classification of working papers);
- Monitors the implementation of improvement actions;
- Assists in preparing reports for corporate bodies (Board of Directors, Board of Statutory Auditors, Control and Risks Committee) and for the 231 Supervisory Body;
- Supports management in Risk Assessment activities in line with national and international best practices (ERM and COSO Report).
**KNOWNLEDGE AND SKILLS
- Bachelor's degree in Economics
- Management Engineering, or Law
- Work experience of at least 7-8 years at major multinational corporations
- Plus: background from a Big Four (PwC, EY, KPMG, or Deloitte) (exclusive experience in Internal Audit not necessary).
- Plus: experience working abroad; CIA certification
- Proficiency in using Data Analytics, Process Mining, and Artificial Intelligence tools
- Fluency in English
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