Company Information
PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business.
Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!
Requisition Summary
This position is located at PACCAR’s global headquarters in downtown Bellevue, Washington, and provides an exciting opportunity to support the strategic direction of PACCAR by developing and applying analytical models that identify and quantify risk in PACCAR’s global portfolio of financial products.
As a Data Analyst within the Portfolio Risk and Analysis Group, you will provide analytically sound risk models that inform credit decisions by PACCAR’s finance organizations in Europe, North America, Latin America, and Australia, as well as senior management and company executives. You will utilize your education and work experience to drive new projects and improvements to existing processes. Company executives and analytic partners will rely on you for timely, trustworthy, and relevant business insights gained through best practices in data science and advanced analytic techniques.
Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept communication skills.
Job Functions / Responsibilities
- Manage and document the full lifecycle of analytic projects from problem statement through solution performance monitoring.
- Provide accurate, relevant, and meaningful analysis to management to support strategic and tactical decision-making.
- Employ appropriate AI/ML algorithms in creation and deployment of models that support initiatives for risk analysis and automated credit decisioning.
- Develop and evaluate predictive models of credit risk and portfolio performance.
- Collaborate with PACCAR’s global credit divisions to develop cons