ZipRecruiter

Log In

1

Fraud Risk Manager Jobs in Ohio (NOW HIRING)

Northwest Bank

Fraud Analyst

Columbus, OH · On-site

Additionally, the position ensures compliance with regulatory requirements and contributes to the development of policies and controls that enhance the bank's fraud risk management framework.

Northwest Bank

Fraud Analyst

Columbus, OH · On-site

Additionally, the position ensures compliance with regulatory requirements and contributes to the development of policies and controls that enhance the bank's fraud risk management framework.

Northwest

Fraud Analyst

Columbus, OH · On-site

Additionally, the position ensures compliance with regulatory requirements and contributes to the development of policies and controls that enhance the bank's fraud risk management framework.

Northwest

Fraud Analyst

Columbus, OH · On-site

Additionally, the position ensures compliance with regulatory requirements and contributes to the development of policies and controls that enhance the bank's fraud risk management framework.

Northwest

Fraud Analyst

Columbus, OH · On-site

Additionally, the position ensures compliance with regulatory requirements and contributes to the development of policies and controls that enhance the bank's fraud risk management framework.

US Bank

Fraud Strategy Data Analyst

Cincinnati, OH · On-site

Maintain a strong commitment to regulatory compliance, internal controls, and risk management standards by adhering to applicable laws, policies, and procedures. The Fraud Strategy Data Analyst ...

New

previous pagenext page

Showing results 21-40

All JobsFraud Risk JobsFraud Risk Manager JobsFraud Risk Manager Jobs in Ohio

Fraud Risk Manager information

See Ohio salary details

$49K

$106.1K

$161.6K

How much do fraud risk manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for fraud risk manager in Ohio is $106,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $122,600.00 per year, depending on experience, location, and employer.

What does a fraud risk manager do?

A Fraud Risk Manager is responsible for identifying, assessing, and mitigating the risk of fraud within an organization. They develop and implement policies, procedures, and controls to prevent and detect fraudulent activities. Their work often involves analyzing data for suspicious patterns, investigating incidents of fraud, and providing training to staff on fraud prevention. Ultimately, they help safeguard the organization's assets and reputation by minimizing the impact of fraudulent activities.

What are the key skills and qualifications needed to thrive as a fraud risk manager?

To excel as a Fraud Risk Manager, you need expertise in fraud detection, risk assessment, and knowledge of financial regulations, often supported by a degree in finance, accounting, or a related field. Familiarity with data analytics tools, fraud management platforms, and certifications like CFE (Certified Fraud Examiner) are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across departments and respond swiftly to emerging threats. These skills and qualifications are vital for proactively identifying, mitigating, and preventing fraudulent activities that could harm an organization’s reputation and finances.

How does a fraud risk manager typically collaborate with other departments to mitigate risks?

Fraud Risk Managers work closely with multiple departments such as compliance, IT, internal audit, and customer service to identify, assess, and address potential fraud risks. They frequently coordinate with data analysts to monitor transactions for suspicious activity and partner with legal teams to ensure regulatory compliance. Regular cross-functional meetings and training sessions are common, allowing them to share insights, update protocols, and respond quickly to emerging threats. Effective communication and teamwork are essential, as fraud prevention is a collaborative effort across the organization.

What is the difference between Fraud Risk Manager vs Fraud Analyst?

AspectFraud Risk ManagerFraud Analyst
CredentialsCertifications like CFE, CRCM; Bachelor's degree in finance, accounting, or related fieldSimilar certifications; Bachelor's degree often required
Work EnvironmentOversees fraud prevention strategies, manages teams, develops policiesConducts investigations, analyzes data, detects fraud patterns
Industry UsageUsed in banking, finance, insurance, and retail sectorsCommonly employed in similar industries for fraud detection

The Fraud Risk Manager focuses on developing and overseeing fraud prevention strategies, managing teams, and implementing policies. In contrast, the Fraud Analyst primarily conducts investigations, analyzes data, and detects fraudulent activities. Both roles require similar credentials and are vital in fraud prevention within financial and retail sectors, but they differ in scope and responsibilities.

How much do fraud risk managers make in the US?

Fraud risk managers in the US typically earn between $80,000 and $130,000 annually, with median salaries around $100,000. Compensation varies based on experience, industry, and location, and professionals often hold certifications like Certified Fraud Examiner (CFE).

What cities in Ohio are hiring for Fraud Risk Manager jobs?

Cities in Ohio with the most Fraud Risk Manager job openings:

Fraud Risk Manager jobs near you
Infographic showing various Fraud Risk Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $106,056 per year, or $51 per hour.

Senior Quant Analytics Associate - Fraud Risk

Columbus, OH

J.P. Morgan
Banking and Credit Intermediation • 10K+ employees
Learn more about J.P. Morganexternal

Full-time

Medical, Retirement

Re-posted 6 days ago

Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

If you are passionate about leveraging advanced analytics and AI to combat fraud and drive business value, we encourage you to apply!

As a Senior Quantitative Analytics Associate in our Fraud Risk team, you will help prevent plastics fraud through advanced, data-driven analysis. You'll gain a comprehensive understanding of the point-of-sale transaction lifecycle and deliver timely, efficient, and tailored solutions. You will collaborate with cross-business partners to leverage advanced analytics for fraud/scam prevention, dispute and claim management, and optimization of risk/reward tradeoffs (losses/OpEx/customer experience), with the goal of driving positive business outcomes.  

Job Responsibilities

  • Analyze large datasets to detect patterns, trends, and anomalies indicative of fraudulent activity.
  • Build, develop, and maintain reporting and data automation systems to communicate insights to leadership for strategic decision-making.
  • Enhance internal analytical techniques and introduce best practices to improve key business metrics.
  • Work independently and collaboratively with cross-functional partners, from problem identification to data analysis and delivering actionable recommendations.
  • Develop and implement GenAI and Agentic AI solutions using Python to automate and optimize decision-making processes.
  • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to improve decision-making and workflow efficiency across fraud operations and customer experience.
  • Design and demonstrate proof-of-concepts (POCs) for extracting insights from structured and unstructured data using advanced analytics; build and iterate on prototype solutions.
  • Stay current with the latest research in LLM, ML, and data science, and leverage emerging techniques for ongoing enhancement.

Required Qualifications, Capabilities, and Skills

  • Advanced degree in a quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
  • 3+ years of experience in Risk Management or any quantitative field
  • Hands-on experience with SQL, Python, and Alteryx.
  • Strong understanding of the foundational principles and practical implementation of machine learning algorithms for anomaly detection, including clustering, classification, neural networks, distance-based, and time series methods.
  • Experience creating generative AI solutions using LLM prompt engineering and Retrieval Augmented Generation (RAG).
  • Experience with evaluation metrics for ML and generative AI.
  • Demonstrated ability to communicate complex concepts and results to both technical and business audiences.

Preferred Qualifications, Capabilities, and Skills

  • Hands-on experience with behavioral and transactional analytics tools and techniques.
  • Familiarity with model explain ability and self-validation techniques.
  • Preferred experience supporting more than one CCB Operations Function/Line of Business.

This role is not eligible for visa sponsorship.  This role is 5 days a week full time in office.

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.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Apply