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Associate Quantitative Risk Analyst Jobs in Detroit, MI

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 ...

The Risk and Finance Analyst will play a critical role in supporting the operations and financial ... Professional certifications such as ARM (associate in risk management) or CPCU (Chartered Property ...

The Risk and Finance Analyst will play a critical role in supporting the operations and financial ... Professional certifications such as ARM (associate in risk management) or CPCU (Chartered Property ...

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.

Risk Manager I (US)

Southfield, MI · On-site

$91K - $136K/yr

This job provides critical information, interpretative, and detailed analysis, and deploys critical ... Creates reports on the results of implemented strategies, using all appropriate quantitative ...

Experience in developing and implementing enterprise-wide risk management frameworks, performing quantitative risk analysis, and facilitating risk mitigation strategies across multiple projects You ...

Experience in developing and implementing enterprise-wide risk management frameworks, performing quantitative risk analysis, and facilitating risk mitigation strategies across multiple projects You ...

Associate

Troy, MI · On-site

Technomics is a growing employee-owned, decision analytics company that specializes in cost and ... This could require use of: quantitative techniques such as regression, optimization and simulation ...

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Associate Quantitative Risk Analyst information

See Detroit, MI salary details

$15

$40

$65

How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for associate quantitative risk analyst in Detroit, MI is $40.08, according to ZipRecruiter salary data. Most workers in this role earn between $29.52 and $48.80 per hour, depending on experience, location, and employer.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

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

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
What are the most commonly searched types of Quantitative Risk Analyst jobs in Detroit, MI? The most popular types of Quantitative Risk Analyst jobs in Detroit, MI are:
What are popular job titles related to Associate Quantitative Risk Analyst jobs in Detroit, MI? For Associate Quantitative Risk Analyst jobs in Detroit, MI, the most frequently searched job titles are:
Infographic showing various Associate Quantitative Risk Analyst job openings in Detroit, MI as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,364 per year, or $40.1 per hour.
Supervisor-AI Specialist

Supervisor-AI Specialist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 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

Ford logo

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