Fraud Data Analytics Advisor

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Experienced professional in forensic analytics in the requisition to pay process, controls and fraud investigations for a Data Analytics Advisor in ExxonMobil Procurement organization. Provide expertise on the use of data analytics technologies and application of Procurement forensic techniques.

Job Role Responsibilities

• Gain understanding of EM requisition to pay process and controls to identify leading data indicators for patterns and anomaly detection
• Develop sustainable and automated tests to identify patterns and potential fraud across the EM requisition to pay process
• Leverage existing SQL infrastructure to extract necessary tables and information for tests
• Analyze relationships between complex and diverse global EM organization
• Proactively and creatively identify new ways to approach tests that can be integrated into EM business processes
• Owns the process of reducing false positive in a data set
• Work collaboratively with Analytics team, Business Lines and Audit to develop and research anomalies from tests

Expected Level of Proficiency

• Procurement forensic experience of big data from development to research
• Knowledge of the standard requisition to pay process
• Ability to code and work with advanced analytics tools including Power BI, Python and Tableau
• Detailed knowledge of how SQL databases work, SQL coding experience and how data needs to be translated for the end user
• Understanding of coding processes and data stack configurations
• Analytical mindset in being able to work with massive amount of data to easily translate the value out of it
• Ability to effectively communicate within cross-functional teams, understanding and balancing each organization’s key priorities working with a diverse team
• Self-starter and requires minimal supervision
• Team player working effectively within cross-functional teams to share experiences and insight
• Naturally curious learner