At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you’ll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas.  You’ll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions.  Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world’s transition to clean energy.

Function:

Finance & Accounting

Job Summary:

As an Internal Audit Data Analytics (DA) Scientist, you will be challenged with identifying risk and increasing efficiencies through the use of data analytics tools and processes. Leveraging analytics, you will support 5-6 audits annually, spanning various processes within Information Technology, Operations, Compliance, General Accounting and Reporting, etc. In addition to supporting audits, you will identify opportunities across CF Industries to leverage your advanced analytics and data modeling skills to provide business partners with insights and opportunities to potentially strengthen their monitoring and analytics capabilities.

Job Description:

Major Responsibilities:

• Collaborate with senior leadership to identify forward-looking opportunities to leverage statistics and technology to improve efficiency and quality of audits, operations and management reporting, and underlying risk management and assessment processes.
• Collaborate with the IT Audit and Data Analytics Director, Lead Data Analytics Scientist, and Audit Managers to understand the in-scope business risks and asso