Credit Risk AI Modeler – GCP & ML Expert

Lincoln Motor Company; Tennessee; On-site; USD 100,000 - 160,000; Full time

Job summary

Lincoln Motor Company is seeking a data analytics professional to lead credit risk modeling and AI initiatives. You will develop and validate models, apply predictive techniques, and translate outputs into actionable business insights.

Strong communication and teamwork are essential for collaboration with global partners. On-site in the United States, Tennessee, you will use GCP, SAS, R, Python, and SQL to drive analytics projects and present findings to stakeholders.

Qualifications

• Masters in Finance/Analytics/Math/Engineering or related field.
• Good PD/LGD/EAD modeling understanding.
• Hands-on AI experience and GCP proficiency.
• Strong predictive modeling knowledge and ML applications.
• Familiar with credit life cycle and risk metrics.
• Experience in data analysis and statistical methods.
• Excellent problem solving and communication skills.
• Proficient with GCP, SAS, SQL, Python.

Responsibilities

• Develop and validate credit risk models and support analyses.
• Enhance AI/ML usage for efficient solutions.
• Build models using GCP, SAS, R, Python and translate results into insights.
• Prepare presentations and documentation for the modeling process.
• Collaborate with partners and manage multiple client interfaces.

Skills

GCP

Python

R

SAS

SQL

Excel

PowerPoint

Communication skills

Team player

Presentation skills

Education

Master's in Finance

Master's in Analytics

Master's in Mathematics

Master's in Engineering

Operations Research

Tools

GCP

SAS

R

Python

SQL

Excel

PowerPoint

Word

Job description

Lincoln Motor Company is seeking a data analytics professional to lead credit risk modeling and AI initiatives. You will develop and validate models, apply predictive techniques, and translate outputs into actionable business insights.

Strong communication and teamwork are essential for collaboration with global partners. On-site in the United States, Tennessee, you will use GCP, SAS, R, Python, and SQL to drive analytics projects and present findings to stakeholders.