Job Overview
For motivated candidates, we offer the chance to belong to one of the world’s largest producers and marketers of commodities and to be part of a multicultural global team, which has a direct contribution to protecting and enhancing its organisational values
Role Objective
• Actively contribute to establishing the latest cognitive data analytics capabilities in Internal Audit (IA)
• Contribute to driving IA function’s strategic objective of becoming ‘Insight Generators’
• Role is not geographically dependent with flexible remote working options available. Support can be provided for relocation if needed
What we offer
• Key role in our journey to digitalise the IA function, employing leading data engineering and analytical tools to unlock the value of data to its stakeholders
• Leverage agile principles and digital collaboration tools that enable an flexible and supportive team experience, essential in this fast changing world (VUCA)
• Encouragement to innovate, experiment and create leading-edge technologies to advance our IA function into one of the best in its field
• Immersion and learning of our diverse company and contribute to lead business groups for key risk areas
• Exposure to company management and leadership, and empowerment to become an leader in your area of expertise
• Possibility to work in a flexible project organisational structure on international assignments and in different regions
Role Duties
• Perform exploratory analysis and preparing large amounts of data, sourced from diverse systems
• Designing and applying machine learning, deep learning, and other artificial intelligence models into IA’s procedures, and other global initiatives such as Benchmarking, Continuous Auditing and Fraud Analytics
• Effectively presenting results via impactful methods and data visualisation techniques
• Contributing in the design and managing of big data models
• Three (3) or more years of relevant work experience in data analysis related field
• Experience applying data mining (e.g. CRISP-DM) agile (e.g. SCRUM) methodologies
• Experience in performing ETL activities and managing data warehouses
• Experience with Business Intelligence and Visualization tools (e.g. Tableau or PowerBI)
• Experience applying top analytical techniques, such as Machine Learning, Pattern recognition, and Text analytics, amongst others, into practical and real world problems
• Experience in the use of languages, libraries and frameworks (e.g. SQL, Python, R, Spark, TensorFlow, Keras, Pig, Hive)
• Excellent communication skills (English proficiency), as you will be required to present and explain complex models to peers, supervisors and internal business clients
Job Detail
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Offerd Salary120,000 CHF
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Career LevelOthers
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Experience4 Years
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GenderBoth
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INDUSTRYBanking
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QualificationMaster’s Degree