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Fraud Detection Machine Learning Jobs in Ohio (NOW HIRING)

Crowe LLP

Machine Learning Intern

Cleveland, OH

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Crowe LLP

Machine Learning Intern

Columbus, OH

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Crowe LLP

Machine Learning Intern

Columbus, OH

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Crowe LLP

Machine Learning Intern

Cleveland, OH

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

New

Etegent

Machine Learning Engineer

Beavercreek, OH · On-site

$51.75 - $68.50/hr

Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. * Provide expertise in data analytics and algorithm development for diverse data ...

New

Kemper

Data Science Manager

Columbus, OH · Hybrid

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow ...

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Fraud Detection Machine Learning information

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

As of Aug 16, 2026, the average hourly pay for fraud detection machine learning in Ohio is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.27 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 Ohio?

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

What job categories do people searching Fraud Detection Machine Learning jobs in Ohio look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Fraud Detection Machine Learning jobs?

Cities in Ohio with the most Fraud Detection Machine Learning job openings:

Fraud Detection Machine Learning jobs near you

Card Fraud Strategy - Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 28 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Bring your expertise to JPMorganChase. As a part of Fraud Strategy, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Fraud Strategy is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As an Associate within the Fraud Strategy Team, you will be responsible for designing and validating fraud strategies, capabilities, and processes including working with Product, Technology and Operations. Your role will require a deep understanding of the business, data analysis to understand root causes, and the use of analytics to design and implement solutions. You will play a pivotal role in promoting end-to-end solutions that mitigate risk while balancing the minimization of revenue loss, operating costs, and customer impacts.
Job responsibilities
  • Manage and enhance Fraud strategy to drive the intended tradeoff between fraud mitigation, financial performance, customer experience, and operational efficiency
  • Regularly monitor fraud trends and customer frictions to identify opportunities to improve fraud strategy performance
  • Leverage internal and external data sources and advanced analytic tools to drive accurate fraud detection
  • Partner with product, technology, and operations to develop new capabilities for better detection and treatment by helping design solutions, develop requirements and test before and after implementations
  • Collaborate closely with broader fraud strategy team and other cross functional teams to leverage best practice and ensure control and compliance
  • Stay on top of the industry trends and adopt industry best practices
  • Drive concise and effective oral and written communications with internal and external partners at different levels

Required qualifications, capabilities, and skills
  • MS degree and 2+ years (or BS degree and 4+ years) of experience in risk management/data analytics.
  • Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
  • Ability to think strategically to come up with a vison for areas of responsibility, develop roadmaps and drive execution to balance short-term vs long-term solutions
  • Strong knowledge of SAS, SQL, Python and MS Office required
  • Strong analytical thought leadership with the ability to leverage AI and machine learning to drive effective and innovative solutions
  • Strong process management and project management skills with the ability to drive capability development.
  • Strong communication skills with the ability to communicate effectively and strategically to senior leaders and key stakeholders
  • Demonstrated strong curiosity to learn and attention to details to drive analytical and execution quality

Preferred qualifications, capabilities, and skills
  • Relevant fraud experience preferred
  • Product management experience is a plus

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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