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Fraud Data Analyst Jobs in Kansas (NOW HIRING)

Work closely with the Sr. BI Analyst & appropriate resources within the Legal & Compliance department to develop & maintain policies to support compliance & compliance issues related to UW, data ...

Work closely with the Sr. BI Analyst & appropriate resources within the Legal & Compliance department to develop & maintain policies to support compliance & compliance issues related to UW, data ...

... fraud detection, or behavioral analytics at scale * 5+ years of experience in data analysis or data science with demonstrated progression in technical scope and complexity * Expert-level SQL across ...

... electronic data and ensuring the overall safety of Information System assets. These ... and/or criminal, fraud, counterintelligence, or law enforcement investigations Policy ...

Analyst

Pittsburg, KS · On-site

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Overland Park, KS · On-site

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Topeka, KS · On-site

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Wichita, KS · On-site

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

Analyst

Kansas City, KS · On-site

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

$112K/yr

... fraud and product liability, accounting, and more. Our case teams range in size and typically ... We prefer students who have completed at least one internship in business, economics, data analysis ...

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Showing results 1-20

Fraud Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do fraud data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for fraud data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What does a fraud data analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

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

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a typical day look like for a fraud data analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

What are popular job titles related to Fraud Data Analyst jobs in Kansas?

For Fraud Data Analyst jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Fraud Data Analyst jobs in Kansas look for?

The top searched job categories for Fraud Data Analyst jobs in Kansas are:

Infographic showing various Fraud Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Fraud & Analytics Manager

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

DEPARTMENT: Analytics

JOB TITLE: Manager of Fraud Analytics

REPORTS TO: VP of Credit Risk & Analytics


WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovation and fun.

JOB PURPOSE: The Fraud Manager is a leadership position within the Analytics Department. This is a hands-on, strategic-thought role with a focus on fraud (detection, prevention, investigation, & analysis) from application to payment collection. The Fraud Manager's key objectives are to minimize the impact of fraud, prevent loss, provide underwriting modeling support, & forecasting in coordination with the analytics/underwriting teams & operations teams. The Fraud Manager will also work closely with other teams throughout the organization to find & reduce incidents of fraud in acquisition sources, applications, & within the current customer base. This position will be responsible for organizing the fraud team, summarizing information, & ensuring fraud-related tasks are handled in a timely manner.

RESPONSIBILITIES

  • Lead a team of fraud specialists in their day-to-day fraud sweep process to monitor applications for suspicious activity, ensuring the fraud team stays on task.
  • Collaborate with the VP of Credit Risk & Analytics to proactively build the Fraud strategy roadmap that includes the assessment & mitigation of fraud on new applications, card/ACH loan funding, account takeover, & payment collections.
  • Proactively analyze fraud patterns, develop fraud prevention strategies, & implement strategies to prevent loss due to fraud. Evaluate multiple data sets to surface patterns of fraud & risk.
  • Lead in researching, analyzing, & automating fraud & risk detection processes.
  • Monitor current risk metrics & create new KPIs to monitor & track fraud prevention efforts, losses, disruptions caused, fraud rates, & overall impact to the company.
  • Continually assess emerging fraud threats & proactively analyze strategies & controls to mitigate fraud risk.
  • Build monitoring & alerting systems to track the impact & continued effectiveness of controls in place.
  • Using data to quantify, prioritize & conduct root cause analysis of risk vectors through detailed analysis & testing. Then report on findings & recommendations.
  • Perform ongoing research into fraud solutions as it applies to the business. Initiate & lead data study efforts related to potential solutions from 3rd party vendors.
  • Collaborate closely with the Data Science team in the development of models & analytics to detect & mitigate fraud risk.
  • Work within the Analytics department & interdepartmental partners to turn insights into effective fraud risk mitigation solutions.
  • Work closely with the Sr. BI Analyst & appropriate resources within the Legal & Compliance department to develop & maintain policies to support compliance & compliance issues related to UW, data, & fraud.
  • Lead business analysis for collections studies, including identifying, validating, & reporting on account payment fraud.
  • Work with key stakeholders in collections to help define key success factors, critical needs, & solutions to ensure success for the collections department.
  • Other duties as assigned.


QUALIFICATIONS

  • A bachelor's degree in a related field, &/or commensurate work experience. Experience with fraud & risk management is strongly preferred.
  • Advanced SQL experience preferred.
  • Working knowledge of financial products, processes, & procedures preferred.
  • Exceptional verbal & written communication skills, effective data storytelling.
  • Strong analytical & problem-solving skills using data to identify gaps, & surface mitigation opportunities.
  • Proficiency leveraging large datasets to drive business decisions.
  • Ability to work effectively both within the department as well as interdepartmentally.
  • Ability to balance strategic priorities with tactical actions.
  • Robust analytical skills & high attention to detail with the ability to interpret data, organize information, & summarize findings.
  • Ability to understand the scope of issues big & small when relaying information.
  • Ability to dive-in to day-to-day workings of multiple processes & understand the full scope of their functions & responsibilities.
  • Demonstrated history of seeing the big picture, driving change, & managing results while executing against multiple competing priorities simultaneously.
  • A self-starter with the ability to independently manage work & drive multiple deliverables concurrently.
  • Intellectual curiosity & desire to identify problems & collaborate with stakeholders to find & execute a solution.

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do! Where excellent work is rewarded, and experience is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. At the heart of our employee culture are the values that we not only preach, but also practice every day:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.

WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account (Medical & Dependant care options available)
  • 401(k)- with match after 6 months of employment
  • Voluntary Life Insurance and AD&D
  • Paid Parental leave (after 1 year)
  • Paid time off
  • Holidays


  • This position is not offering relocation assistance.
  • This position is not offering sponsorship.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.