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Fraud Detection Machine Learning Jobs in Detroit, MI

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... detect early indicators and recommend actions to prevent/mitigate RAV Execute quick turn studies ...

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Fraud Detection Machine Learning information

See Detroit, MI salary details

$10

$17

$26

How much do fraud detection machine learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fraud detection machine learning in Detroit, MI is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.04 per hour, depending on experience, location, and employer.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are popular job titles related to Fraud Detection Machine Learning jobs in Detroit, MI?

For Fraud Detection Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Detroit, MI look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Fraud Detection Machine Learning jobs?

Cities near Detroit, MI with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Fraud Manager, Ford Credit Risk Management Organization

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 22 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves.

Are you ready to change the way the world moves. 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.

The Fraud Manager is a high-impact, leadership position within Ford Credit's Risk Management Organization. It requires a blend of fraud expertise, strong leadership, organization skills, sound analytical abilities and excellent communication skills. The person in this role will be responsible for leading all fraud identification and mitigation efforts within Ford Credit's Risk Management Organization.

What you'll do... Lead, mentor, and develop a small, high-performing team of fraud analysts/investigators, fostering a culture of accountability, integrity, and continuous improvement. Oversee the end-to-end investigation of suspected fraudulent loan/lease applications, dealer transactions, and account activity, including origination, funding, and servicing fraud (e.g., identity theft, synthetic identity, straw purchases, income/employment misrepresentation, title/collateral fraud, and first-party fraud)

Develop, implement, and continuously refine fraud detection strategies, scorecards, and rules in partnership with Risk, Credit, Originations, and Technology teams to minimize losses while preserving a positive dealer and customer experience. Monitor fraud trends, emerging schemes, and industry intelligence; proactively adjust detection models and team procedures to stay ahead of evolving fraud tactics. Partner with Underwriting, Funding, Collections, Legal, and Compliance to escalate, resolve, and remediate confirmed fraud cases, including referrals to law enforcement and regulatory reporting (e.g., SARs) where required

Prepare and present regular reporting to senior leadership on fraud trends, loss metrics, case outcomes, and the effectiveness of fraud prevention controls. Manage relationships with third-party fraud detection vendors and tools, evaluating new technologies and analytics platforms to improve detection accuracy and reduce false positives. Ensure procedural compliance across fraud operations to support successful outcomes on internal and external (regulatory) audits.

Establish and maintain case management protocols, ensuring investigations are thorough, well-documented, and completed within service level expectations. Support dealer-facing fraud awareness and training efforts and serve as a subject matter expert/point of escalation for complex or high-dollar fraud cases. Ensure all PII and confidential company/customer information is handled and secured in accordance with company policy and applicable law.

Operate within headcount, staffing, and budget guidelines while managing team workload and productivity. You'll have... Bachelor's degree or equivalent relevant experience

Several years of experience in fraud investigation, fraud strategy, credit risk, or loss prevention within auto finance, consumer lending, or banking, including prior people-leadership or team-lead experience. Strong working knowledge of fraud typologies relevant to auto lending (application/identity fraud, synthetic identity, straw borrowers, income/employment falsification, title and collateral fraud, dealer fraud). Working knowledge of applicable regulations and industry standards, such as FCRA, ECOA, UDAAP, GLBA, BSA/AML/SAR requirements, and Red Flags Rule.

Demonstrated analytical skills, with the ability to interpret data trends, fraud scorecards, and portfolio-level metrics to drive decision-making. Excellent written and verbal communication skills, with experience presenting findings and recommendations to senior leadership. Proven ability to lead, coach, and develop a team while managing competing priorities in a fast-paced environment.

Strong collaboration skills, with experience partnering across Credit, Originations, Funding, Compliance, Legal, and Technology functions. Experience with fraud detection systems, case management tools, and/or credit bureau and identity verification platforms. Even better, you may have..

Certified Fraud Examiner (CFE) or similar professional certification. Experience specifically within a captive auto finance company or auto lending environment. Familiarity with dealer-level fraud schemes and floorplan/wholesale fraud detection.

Experience building or enhancing fraud detection models, machine learning-based scoring, or rules-based fraud engines. Prior experience working with law enforcement, external investigators, or regulatory examiners on fraud matters. Experience managing third-party fraud vendor relationships and RFP/vendor evaluation processes.

Advanced degree (MBA or related field). Additional Requirements.... Position will be a Hybrid Position with in-person work being conducted at Ford Credit Headquarters in Dearborn, MI Expected in-person work a minimum of 4 days per week

Some occasional overnight travel may be required 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 5 and ranges from $141,700-$268,300. 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 with a requirement to be onsite four or more days per week.

#LI-Hybrid #LI-FordCredit #LI-JB5


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