Segment Financial Controller

• Participate in controlling activities of Segment for various cycles: MRF, BAR, Budget, Strategy - act as an essential pillar to support Europe Management in decision making process.
• Coordinate central postings on LPE level, well reviewed by N+1
• Business partnering with mills, act as point of reference for any BPM / GCB related query.
• Ensure reliable, accurate and timely financial reporting & analysis
• Cost management, strict follow up, ensure proper evaluation - work autonomously on analysis in domains as but not limited to below:

• Production cost : Variable & Fixed
• Productivity & TCOE analysis
• Transport cost
• IFA controlling - ensure adherence to Budget envelope, plan an essential role in Central finance cost follow up, proactively define forward looking target.
• SSG&A ensure adherence to previously defined targets, provide early warnings.
• Internal audit recommendations follow up aim to reduce overdue recommendations at bring them at previously defined target by senior management.
• Act in agile way for all ad-hoc requests related to controlling topics and contribute in digitalization / automation and harmonization of various financial topics.

• University degree (Accounting or Applied Economics), Business School.
• Experience in accounting or controlling positions, preferably in international companies (group).
• Background in complex industry (manufacturing environment) and in audit firm an asset.
• Proficiency in Excel and PowerPoint also proficient English level is a must.
• Capacity to work both with a high level of details and to take helicopter view.
• Results orientation: Deliver the best possible business value (low cost, high value), proactively overcome obstacles and adapt approach to achieve results.
• Relationship skills: Able to adapt approach to different level of people and to different levels of expectations and to communicate with them effectively.
• Able to challenge status-quo and to drive change.
• Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions and evaluate outcomes.
• Data science skills would be considered as advantage

ArcelorMittal