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.
- Understands basic statistical concepts such as sample size, various statistical distributions, joint and conditional probabilities, hypothesis testing, and goodness of fit tests.
- Works with various statistical software tools.
- Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Evaluates and makes contributions to best practices.
- Processes large quantities of detailed information with high levels of accuracy.
- Productively balances speed and accuracy.
- Implements a variety of cross-checking approaches and mechanisms.
Analytical
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