Career Area:
Business Technologies, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
About Cat Financial
Cat Financial is a subsidiary of Caterpillar Inc., the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat dealers for machines, engines, Solar gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa. Visit cat.com to learn more about Cat Financial.
Role Definition
Performs analytical tasks and initiatives on large datasets to support data-driven business decisions, with focus on modeling of credit risk for loan origination and credit allowance.
Responsibilities
- Support the team’s development, implementation and management of scoring, probability of default and loss given default data, models and methodologies utilized for the Allowance Process, as well as for Auto Decisioning processes globally.
- Collect and curate data from various systems for use in model development, validation, and inference.
- Use various data visualization technologies to produce reports and dashboards for management.
- Conduct literature research on models and methodologies, capturing industry best practices and market and regulatory trends.
- Provide analytics expertise and promote innovation and process automation.
Degree Requirement
A 4-year college or university degree in a business or quantitative discipline, preferably in Data Science, Statistics or Computer Science. A minimum of 3 years of relevant experience and an advanced degree in a quantitative discipline are strongly preferred.
Skill Descriptors
- Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
- Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
- Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Programming Languages: Knowledge of concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
- Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Additional Information:
Relocation is available for this position. Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at
Posting Dates:
October 15, 2024 - October 22, 2024
Any offer of employment is conditioned upon the successful completion of a drug screen.
EEO/AA Employer. All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
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