Data Science Auditor
vor 2 Wochen
We are looking for a highly skilled and motivated Data Science Auditor to join a dynamic team focusing on Audit and Risk Projects.
The ideal candidate will have a strong background in data science, analytics, and financial audit procedures, with experience working on data automation and testing of internal control for industry-leading companies.
Data Science Auditor - Oil and GasOur client is a leading international commodities trading company based in Geneva.
Description
- Collaborate with audit teams to examine internal control systems, ensuring compliance with financial reporting standards, operational activities, and regulatory requirements within the Oil and Gas sector.
- Develop and implement data automation solutions to enhance audit efficiency, including the creation of advanced workflows using tools such as Alteryx and Python
- Utilize data visualization techniques to communicate findings effectively, developing intricate dashboards using Power BI, and Generative AI.
- Conduct mapping and testing of internal controls, leveraging data approaches such as natural language processing to identify control gaps and mitigate risks.
- Document, version, and rigorously thoroughly test workflows to ensure accuracy and reliability of data analysis processes.
- Utilize data analysis for risk assessments and monitoring of key indicators, contributing to the overall audit planning and execution phases.
- Provide training and support to new team members on data tools and techniques, fostering culture of continuous learning and development within the organization.
- Contribute to research and development projects in the Oil and Gas industry, utilizing data science methodologies to drive innovation and insight.
- Collaborate with management on project plans and support client meetings, demonstrating strong problem-solving skills and the ability to identify process improvements
Profile
- At least 5 years of experience in an Audit/Advisory/Operational Risk role, ideally within an integrated oil company.
- Bachelor's or Master's degree in a relevant field such as Data Science, Petroleum engineering or Computational Mechanics.
- Proven experience in Data Analytics within the audit or Oil and Gas industry, compulsory.
- Proficiency in coding languages such as Python, R, and/or SQL, with experience in developing data workflows and visualizations.
- Strong understanding of data management principles, including data collection, storage, cleaning and integration.
- Experience with data visualization tools such as Power BI, Tableau, and advanced techniques in data visualization libraries.
- Knowledge of machine learning algorithms and statistical analysis techniques, with experience in applying them to solve business problems.
- Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- Strong analytical and critical thinking abilities, with a results-oriented mindset and spirit of initiative.
- Fluency in English, with excellent written and verbal communication skills.
- Experience working in and resolving problems independently in a fast-paced, results-oriented trading environment.
- Certifications that will boost your profile: CDMP - Professional Data Management Certification / Alteryx Advanced Certified / Project Management Certification / Data Science with Python, Data Acumen
Job Offer
This is a permanent full time position that will give the successful candidate the opportunity to be fully involved in the business and bring great added value to the team.
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