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Fraud Detection Machine Learning Jobs in Ohio (NOW HIRING)

Fraud Risk Analytics Manager

Cleveland, OH ยท Hybrid

$105K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Solid foundation in data science and statistical learning , including: * Classification and ...

Fraud Risk Analytics Manager

Mason, OH ยท Hybrid

$105K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Solid foundation in data science and statistical learning , including: * Classification and ...

Fraud Risk Analytics Manager

Mason, OH ยท Hybrid

$105K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Solid foundation in data science and statistical learning , including: * Classification and ...

Fraud Risk Analytics Manager

Cleveland, OH ยท Hybrid

$105K - $130K/yr

Strong experience with fraud detection, prevention, and decisioning systems in complex environments ... Solid foundation in data science and statistical learning , including: * Classification and ...

... machine learning models for credit decision and fraud modeling, ensuring ethical standards and ... detection, and end-to-end auditability. Preferred : โ€ข Strong expertise, interest, and track ...

New

Senior Machine Learning Test Engineer

New Hampshire, OH ยท On-site +1

$98.80K - $128.30K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)

Machine Learning Operations Engineer

Strongsville, OH ยท On-site

$64.10K - $86.70K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data. * Engineer ...

Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data. * Engineer ...

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Engineer

Beavercreek, OH ยท On-site

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Engineer

Beavercreek, OH ยท On-site

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Data Engineer

Beavercreek, OH ยท On-site

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

AIML Integration Familiarity with the deployment of Machine Learning models for fraud detection and the Model Risk Management (MRM) validation process.Data Governance Strong understanding of data ...

Data Engineer

Beavercreek, OH ยท On-site

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

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Fraud Detection Machine Learning information

See Ohio salary details

$10

$17

$25

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

As of May 29, 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 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 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 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 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 cities in Ohio are hiring for Fraud Detection Machine Learning jobs? Cities in Ohio with the most Fraud Detection Machine Learning job openings:
Fraud Risk Analytics Manager

Fraud Risk Analytics Manager

Citizens

Cleveland, OH โ€ข Hybrid

$105K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including:ย 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparencyย 

The salary range for this position is $105,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST