Global Risk Data Analyst

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Job Purpose

As part of the Global Risk team at CNH Industrial Financial Services, you will be contributing to initiatives across credit, collections, and residual value risk within our agricultural and construction equipment business. As part of a global team, you will be involved in analyzing diverse data sets, applying machine learning algorithms, and conducting both ad hoc and periodic risk-focused assessments.

Key Responsibilities

• Develop and implement AI/ML models for the credit, collections, and residual risk
• Provide data-driven solutions to stakeholders within the business by using various digital tools available within CNH Capital
• Perform ad hoc analyses of business situations, systems, issues and problems as well as research and test new technologies for risk mitigation
• Work with IT to create/improve and keep structured data, perform data maintenance and management, and consult on best practices for data retention
• Assess tools/data purchased to support risk management plus tools used by outside vendors or partners
• Provide and present the results of analyses in the form of graphs, charts, and tables, in high quality fashion and acceptable format, for management, peer and audit reviews
• Document and maintain all procedures and results
• Validation and monitoring of Residual Value tools and their application in sales, underwriting, remarketing or other user areas
• Maintain our residual value calculation engine

The annual salary for this role is $84,000 - $123,000 (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

Experience Required

• Bachelor's or master's degree in a quantitative discipline or related fields (e.g. Analytics, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, Computer Science etc.)
• Prior experience in data querying dashboard development
• Prior experience working in Python/SAS and/or Azure Databricks
• Experience in delivering information to business stakeholders through quantitative methodologies

Please note that this position is not eligible for visa sponsorship. We are unable to provide or support work authorization, including visa sponsorship (e.g., H-1B, TN, etc.), now or in the future. Candidates must have current authorization to work in the United States without the need for future sponsorship