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Freelance Credit Risk Modeling Jobs in Michigan (NOW HIRING)

Crowe LLP

Loan Review Senior Consultant

Grand Rapids, MI

$76K - $151K/yr

Crowe is seeking a Loan Review Senior Consultant to perform credit risk consulting projects for a ... Prepare detailed financial analysis, including cash flow models and collateral evaluations in order ...

Ford Motor Company

Supervisor-AI Specialist

Dearborn, MI · On-site

$115K - $218K/yr

Deep knowledge of fair lending regulations, ECOA, and model risk management guidelines * Experience deploying Generative AI (LLMs) for synthetic data generation or automated credit memo summarization ...

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Freelance Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Freelance Credit Risk Modeler, and why are they important?

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

What is the difference between Freelance Credit Risk Modeling vs Credit Analyst?

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.
What are popular job titles related to Freelance Credit Risk Modeling jobs in Michigan? For Freelance Credit Risk Modeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in Michigan look for? The top searched job categories for Freelance Credit Risk Modeling jobs in Michigan are:
What cities in Michigan are hiring for Freelance Credit Risk Modeling jobs? Cities in Michigan with the most Freelance Credit Risk Modeling job openings:
Freelance Credit Risk Modeling jobs near you
Supervisor-AI Specialist

Supervisor-AI Specialist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 days ago

Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
In this position...
  • We are seeking a visionary and hands-on Risk Analytics Supervisor in our Auto Loan Originations Risk function.
  • This is a dual-hat role requiring deep domain expertise in consumer auto credit risk and a robust technical command of modern AI/ML engineering and cloud ecosystems (specifically GCP).
  • You will be responsible for incorporating AI/ML in Risk Analytics, and acting as the critical bridge between the Analytics, Risk business unit and IT/Engineering.
  • Your primary responsibility is to architect, develop, and deploy next-generation AI-driven risk solutions directly into the our workflow, ensuring scalability, regulatory compliance, and measurable P&L impact.

Responsibilities
What you'll do...
  • Help to define and execute the long-term analytics roadmap for auto loan originations, balancing predictive accuracy, business profitability, and regulatory constraints
  • Champion the adoption of responsible AI/ML to transform our workflow
  • Foster a culture of scientific rigor, intellectual curiosity, and business acumen
  • Establish best practices for code review, model documentation, and reproducible research
  • Act as the primary liaison to IT and Engineering to design the data architecture and MLOps infrastructure required for real-time risk analytics
  • Lead the optimization of risk models in modern platforms
  • Evaluate and integrate other AI development platforms where appropriate
  • Partner with IT for model deployment
  • Develop the end-to-end lifecycle of AI solutions, from prototyping novel algorithms to production deployment
  • Drive the development of explainable AI (XAI) frameworks to ensure model transparency for Fair Lending and regulatory audits
  • Leverage alternative data sources
  • Support rigorous model validation, back-testing, and stress-testing frameworks
  • Translate complex model outputs into clear strategic narratives for the upper management

Qualifications
You'll have...
  • Master's or PhD in Statistics, Computer Science, Operations Research, Econometrics, or a highly quantitative field
  • 6+ years of progressive experience in quantitative risk analytics, with at least 1+ years in a leadership/people-management capacity specifically within auto lending or consumer finance
  • Cloud Expertise: Deep, hands-on experience with Google Cloud Platform (GCP) , including data warehousing (BigQuery) and model deployment (Vertex AI). Familiarity with infrastructure-as-code (Terraform) is a plus
  • Experience using AI tools to build solutions, e.g. AI tools for scorecard analytics, documentation intelligence, fraud detection.
  • IT Collaboration: Demonstrated success in working alongside IT/Engineering to productionize analytics, including experience with APIs, microservices, and containerization
  • Programming: Expert-level proficiency in Python (including pandas, scikit-learn, PyTorch/TensorFlow) and SQL

Even better, you may have...
  • MLOps: Strong understanding of the ML lifecycle, feature stores, model monitoring (drift detection), and automated retraining pipelines
  • Regulatory: Deep knowledge of fair lending regulations, ECOA, and model risk management guidelines
  • Experience deploying Generative AI (LLMs) for synthetic data generation or automated credit memo summarization

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

This position is leadership level 6 and ranges from $115,500-$218,100.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: New Hire Benefits
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
#LI-FordCredit #LI-CS4
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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