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.

EXPERIENCE REQUIRED

• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Finance, Engineering, Computer Science).
• Familiarity and/or experience in machine learning, statistical modeling, and/or AI applications.
• Experience in data querying, dashboard development, and model deployment.
• Familiarity with Azure Databricks, SAS, and cloud-based analytics platforms.
• Proficiency in Microsoft Office and Power BI.
• Programming experience in Python, R, SAS, or similar languages.
• Strong understanding of big data ecosystems and data engineering principles.

PREFERRED QUALIFICATIONS

• Excellent communication skills and ability to translate technical findings into business insights.
• Advanced problem-solving and creative thinking abilities.
• Ability to work independently and collaboratively in a global team environment.
• Experience in financial services, particularly in credit risk or collections.
• Hands-on experience in developing and deploying AI solutions in production environments.
• Knowledge of model governance, validation, and regulatory compliance in financial institutions.

JOB PURPOSE

As a Digital Transformation Analyst, you will be a key contributor to CNH Industrial Financial Services’ Global Risk Modeling & Analytics team. This role offers the opportunity to work on global initiatives, applying advanced analytics and artificial intelligence (AI) to solve complex credit risk and business challenges. You will support data science standards, participate in ad hoc and periodic risk-centric projects, and collaborate across regions to develop innovative, data-driven solutions.
You will be responsible for preparing, managing, and analyzing large datasets, applying machine learning (ML) and AI techniques to build and maintain predictive models, and supporting the development of automated decisioning tools. Your work will directly impact credit risk strategy, underwriting, collections, and portfolio management.