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Associate Fraud Analyst Jobs in Kentucky (NOW HIRING)

$160 - $210/hr

... fraud detection, and enrich customer experience. You will also be tasked with designing and ... Ability to set the analytical direction for projects, transforming vague business questions into ...

$77 - $122/hr

... analyze potential fraud indicators, and identifies discrepancies between established fraud ... With approximately 36,000 associates across 1,700 locations, Ferguson plc serves customers in all ...

$90 - $130/hr

Commercial litigation, including contract disputes, business torts, fraud, and statutory claims ... Strong legal research, writing, analytical, and advocacy skills * Excellent organizational skills ...

$110 - $170/hr

Commercial litigation, including contract disputes, business torts, fraud, and statutory claims ... Strong legal research, writing, analytical, and advocacy skills * Excellent organizational skills ...

$90 - $120/hr

... fraud, waste, and abuse; collecting and maintaining thorough and accurate documentation; drafting ... Strong data analysis skills. Proficient in Microsoft Office products particularly Word, Excel, and ...

New

$110 - $160/hr

The position will be either Associate Counsel (GS-12/13) or Senior Counsel (GS-14), depending on ... Reviewing and analyzing advisory opinion requests and drafting advisory opinions. * Drafting safe ...

$85 - $140/hr

The position will be either Associate Counsel (GS-12/13) or Senior Counsel (GS-14), depending on ... Reviewing and analyzing advisory opinion requests and drafting advisory opinions. * Drafting safe ...

$109 - $128/hr

... front running, fraud, and other disruptive trading activity by CDE participants to ensure ... Analyze alerts generated by CDE's trade surveillance system, triaging and escalating matters that ...

$79 - $135/hr

Identify process improvements, maintain and analyze leave data, and share reports and ... Review suspected leave misuse or fraud, document findings, and elevate concerns to support the ...

$100 - $108/hr

ENT and Allergy Associates, LLP and Hümi is seeking a self-motivated, people-friendly full time ... Monitor exposure to interest-rates, concentration, and payment-fraud risks. Prepare analyses and ...

$95 - $125/hr

... fraud risk, working capital benchmarking, and industry-leading trends. We define strategic goals ... You will partner with TMOs on proposals, pricing analysis, and profitability modeling. * You will ...

$62 - $97/hr

... against fraud and abuse. * Comply with Company policies, procedures and standard practices ... analysis. * Provides consistent, frequent communication with referral sources including but not ...

$70 - $75/hr

Beware of Recruitment Fraud: We are committed to protecting job seekers from recruitment fraud ... Established in 1925, Rose Associates possesses a century of real estate expertise and an impeccable ...

New

$66 - $106/hr

Responsibilities SafeGuard Services (SGS), a subsidiary of Peraton, performs data analysis ... fraud, waste, and abuse. We are looking to add a Nurse Reviewer to our SGS team of talented ...

$66 - $106/hr

Responsibilities SafeGuard Services (SGS), a subsidiary of Peraton, performs data analysis ... Bachelors and 5 years of experience, Masters degree and 3 years of experience, Associates and 7 ...

New

$66 - $106/hr

Responsibilities SafeGuard Services (SGS), a subsidiary of Peraton, performs data analysis ... Bachelors and 5 years of experience, Masters degree and 3 years of experience, Associates and 7 ...

$110 - $140/hr

Ensure all pharmacy associates comply with current company standards and all Federal and State ... Review and analyze all financial reports and data. Make timely and effective decisions based on ...

Showing results 41-60

Associate Fraud Analyst information

See Kentucky salary details

$13

$26

$55

How much do associate fraud analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for associate fraud analyst in Kentucky is $26.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $29.42 per hour, depending on experience, location, and employer.

What does an associate fraud analyst do?

An Associate Fraud Analyst is responsible for detecting and investigating potential fraudulent activities within an organization, often in the financial or retail sector. They review transactions and account activities for signs of fraud, analyze data to spot irregularities, and report suspicious findings to senior staff or law enforcement. Their work helps protect companies and customers from financial losses by identifying and preventing fraud schemes. Associate Fraud Analysts typically use specialized software and follow strict protocols to ensure accuracy and compliance.

What are the key skills and qualifications needed to thrive as an associate fraud analyst, and why are they important?

To thrive as an Associate Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools like Excel or SQL, and sometimes certifications such as CFE (Certified Fraud Examiner) are typically required. Excellent problem-solving abilities, effective communication, and integrity are crucial soft skills for this role. These competencies are vital for accurately identifying fraudulent activities, minimizing financial losses, and maintaining organizational trust.

What are the typical challenges an associate fraud analyst faces when distinguishing between legitimate and suspicious transactions?

As an Associate Fraud Analyst, one of the main challenges is accurately identifying fraudulent activity without causing unnecessary disruptions to legitimate customers. This requires balancing the use of automated detection tools with keen analytical skills to assess nuanced patterns and behaviors. The role often involves reviewing large volumes of transaction data and making quick decisions, which can be stressful but rewarding as you directly help protect both the company and its customers. Collaboration with senior analysts and other departments, such as customer service or compliance, is common to resolve complex cases and improve fraud prevention strategies.

What is the difference between Associate Fraud Analyst vs Fraud Investigator?

AspectAssociate Fraud AnalystFraud Investigator
CredentialsHigh school diploma or equivalent; some roles may prefer a bachelor's degreeHigh school diploma; some roles may require certifications like ACFE's CFE
Work EnvironmentOffice setting, analyzing transactions, monitoring fraud alertsOffice or remote, conducting investigations, interviewing witnesses
Employer & IndustryFinancial institutions, credit card companies, e-commerceFinancial institutions, law enforcement, insurance companies
Search & Comparison IntentYes, often compared for entry-level roles in fraud detectionYes, for more in-depth investigation roles

The Associate Fraud Analyst typically handles initial transaction monitoring and fraud alerts, requiring basic analytical skills and industry knowledge. Fraud Investigators perform deeper investigations, often involving interviews and evidence collection. Both roles are essential in combating fraud but differ in scope and complexity.

What are the most commonly searched types of Fraud Analyst jobs in Kentucky?

The most popular types of Fraud Analyst jobs in Kentucky are:

What are popular job titles related to Associate Fraud Analyst jobs in Kentucky?

For Associate Fraud Analyst jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Associate Fraud Analyst jobs in Kentucky look for?

The top searched job categories for Associate Fraud Analyst jobs in Kentucky are:

What cities in Kentucky are hiring for Associate Fraud Analyst jobs?

Cities in Kentucky with the most Associate Fraud Analyst job openings:

Infographic showing various Associate Fraud Analyst job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 22% Part Time, 7% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $55,432 per year, or $26.6 per hour.

$160 - $210/hr

Other

Posted 5 days ago


Key responsibilities

  • Research, experiment, develop, and implement machine learning models, services, and platforms to improve payment processes, fraud detection, and customer experience.

  • Design and execute scalable and reliable data processing pipelines, conduct analysis, and derive insights to optimize business outcomes.

  • Collaborate with cross-functional teams to identify opportunities for AI/ML applications within the payments ecosystem.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description

As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.

As a Senior Associate Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment’s ecosystem will also be a part of your responsibilities.

Job Responsibilities:
  • Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments’ domain.
  • Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
  • Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
  • Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
Required qualifications, capabilities, and skills:
  • Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
  • Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
  • Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
  • Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
  • Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
  • Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
Preferred Qualifications, capabilities and skills
  • Experience in the financial services industry, particularly within investment banking operations.
  • Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
  • Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
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