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Quantitative Risk Analyst Intern Jobs in Detroit, MI

Ford Motor Company

Supervisor-AI Specialist

Dearborn, MI

$115K - $218K/yr

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 ...

DTE Energy

Senior Project Engineer

Detroit, MI

$97K - $127K/yr

... quantitative risk assessment. * Manages the design development of projects through the conceptual, design, scheduling, analysis, installation, testing and commissioning phase of projects.

DTE Energy

Senior Project Engineer

Detroit, MI · On-site

$97K - $127K/yr

... quantitative risk assessment. * Manages the design development of projects through the conceptual, design, scheduling, analysis, installation, testing and commissioning phase of projects.

Autodesk

Intern, Model Based Systems Engineering

Novi, MI · Hybrid

$15.75 - $20.50/hr

The intern will explore integration of MBSE practices with computational geometry, AI/ML methods ... Understanding of quantitative trade-off methods (Multi-Attribute Utility Theory, Pareto analysis)

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All JobsQuantitative Risk Analyst Intern JobsQuantitative Risk Analyst Intern Jobs in Detroit, MI

Quantitative Risk Analyst Intern information

See Detroit, MI salary details

$64.3K

$107.2K

$144K

How much do quantitative risk analyst intern jobs pay per year?

As of Jul 3, 2026, the average yearly pay for quantitative risk analyst intern in Detroit, MI is $107,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $129,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Risk Analyst Intern, and why are they important?

To thrive as a Quantitative Risk Analyst Intern, you need a solid background in mathematics, statistics, and finance, often supported by progress toward a relevant degree such as finance, economics, or applied mathematics. Familiarity with programming languages like Python or R, statistical analysis tools, and risk management platforms such as SAS or MATLAB is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and present findings clearly. These skills are crucial for accurately assessing risks, supporting data-driven decision-making, and contributing to effective risk management strategies.

What does a Quantitative Risk Analyst Intern do?

A Quantitative Risk Analyst Intern supports the risk management team by analyzing financial data, building statistical models, and assessing potential risks that could impact an organization. They use mathematical and statistical techniques to identify, measure, and monitor risks associated with investments, market movements, or operational activities. Interns often help with data collection, programming (using tools like Python, R, or Excel), and preparing reports for senior analysts. This role provides valuable hands-on experience in applying quantitative methods to real-world financial risk scenarios.

What is the difference between Quantitative Risk Analyst Intern vs Quantitative Risk Analyst?

AspectQuantitative Risk Analyst InternQuantitative Risk Analyst
Required credentialsTypically pursuing or recent graduate with a degree in finance, economics, or related fieldBachelor's or master's degree in a relevant field, often with some professional experience
Work environmentInternship setting, often part-time or summer program within financial institutionsFull-time role within banks, investment firms, or insurance companies
Employer and industry usageUsed in internship programs across finance and risk management firmsStandard position in risk management departments of financial services

The main difference between a Quantitative Risk Analyst Intern and a Quantitative Risk Analyst is experience level and responsibility. Interns are typically students gaining exposure, while analysts are full-time professionals responsible for assessing and managing risk strategies.

What types of projects and responsibilities can a Quantitative Risk Analyst Intern expect during their internship?

As a Quantitative Risk Analyst Intern, you can expect to work on projects involving data analysis, risk modeling, and validation of existing financial models. You may assist in stress testing portfolios, researching risk factors, and automating data processes under the guidance of senior analysts. Interns typically collaborate closely with risk management, trading, and IT teams, gaining hands-on experience with industry-standard tools and methodologies. This role offers an excellent opportunity to develop technical skills and an understanding of how risk is measured and managed in financial institutions.
What are popular job titles related to Quantitative Risk Analyst Intern jobs in Detroit, MI? For Quantitative Risk Analyst Intern jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst Intern jobs in Detroit, MI look for? The top searched job categories for Quantitative Risk Analyst Intern jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Quantitative Risk Analyst Intern jobs? Cities near Detroit, MI with the most Quantitative Risk Analyst Intern job openings:
Quantitative Risk Analyst Intern jobs near you
Infographic showing various Quantitative Risk Analyst Intern job openings in Detroit, MI as of June 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $107,246 per year, or $51.6 per hour.
Supervisor-AI Specialist

Supervisor-AI Specialist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 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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