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Fraud Risk Analyst Jobs in Oklahoma (NOW HIRING)

Fraud Analyst - The Fraud Analyst is responsible for detecting, investigating, and preventing ... Loss Prevention and Risk Mitigation * Identify patterns, emerging fraud schemes, and ...

... analytics, reporting, and decisioning across the enterprise. Team Culture You'll be part of a highly collaborative, build-focused environment where fraud, risk, and data teams work side by side to ...

... analytics, reporting, and decisioning across the enterprise. Team Culture You'll be part of a highly collaborative, build-focused environment where fraud, risk, and data teams work side by side to ...

You will serve as the second level of escalation for fraud-related cases, providing expert analysis and strategic guidance to identify and mitigate organizational risk while resolving complex ...

You will serve as the second level of escalation for fraud-related cases, providing expert analysis and strategic guidance to identify and mitigate organizational risk while resolving complex ...

You will serve as the second level of escalation for fraud-related cases, providing expert analysis and strategic guidance to identify and mitigate organizational risk while resolving complex ...

Business/Technical Analysis; Enterprise Data; Information Technology; Payments; Portfolio ... Lead cross-functional initiatives focused on improving risk and fraud processes, efficiency, and ...

Business/Technical Analysis; Enterprise Data; Information Technology; Payments; Portfolio ... Lead cross-functional initiatives focused on improving risk and fraud processes, efficiency, and ...

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Fraud Risk Analyst information

See Oklahoma salary details

$17

$39

$73

How much do fraud risk analyst jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for fraud risk analyst in Oklahoma is $39.99, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $49.04 per hour, depending on experience, location, and employer.

What is the salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

What is the average salary of a fraud analyst?

The average salary of a fraud risk analyst typically ranges from $50,000 to $80,000 per year, depending on experience, location, and industry. Professionals in this role often use data analysis tools and may require certifications such as Certified Fraud Examiner (CFE).

Is fraud risk a good career?

A career as a Fraud Risk Analyst involves identifying and preventing financial crimes, requiring skills in data analysis, attention to detail, and knowledge of fraud detection tools. It is a growing field with demand across industries such as banking, insurance, and e-commerce, offering opportunities for advancement and specialization. The role often requires certifications like Certified Fraud Examiner (CFE) and a strong understanding of regulatory environments.

What are the key skills and qualifications needed to thrive as a Fraud Risk Analyst, and why are they important?

To thrive as a Fraud Risk Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, accounting, or a related field. Familiarity with fraud detection software, data analysis tools like SQL or Python, and sometimes certifications such as CFE (Certified Fraud Examiner) are valuable. Excellent problem-solving, critical thinking, and communication skills help analysts effectively investigate suspicious activities and present findings. These skills are crucial for identifying and mitigating fraud risks, protecting organizational assets, and ensuring regulatory compliance.

What does a fraud and risk analyst do?

A fraud and risk analyst investigates and identifies potential fraudulent activities and assesses risks within financial transactions or business operations. They analyze data using specialized tools, develop risk mitigation strategies, and ensure compliance with regulations to prevent financial losses and protect organizational assets.

What does a Fraud Risk Analyst do?

A Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze transactions, monitor patterns, and use various tools and techniques to detect potential fraud. Their work helps protect the company from financial losses and ensures compliance with relevant laws and regulations. They may also recommend improvements to internal controls and work closely with other departments to develop anti-fraud strategies.

What are some common challenges faced by Fraud Risk Analysts in a rapidly evolving digital landscape?

Fraud Risk Analysts often face the challenge of keeping up with increasingly sophisticated fraud schemes and rapidly changing technologies. Staying ahead requires continuous learning, adapting to new tools, and proactively identifying emerging risks. Collaboration with IT, data science, and compliance teams is essential to implement effective controls and respond quickly to potential threats. Additionally, balancing thorough investigations with the need for efficient customer experiences can be demanding, making strong analytical and communication skills vital.
What are popular job titles related to Fraud Risk Analyst jobs in Oklahoma? For Fraud Risk Analyst jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Fraud Risk Analyst jobs in Oklahoma look for? The top searched job categories for Fraud Risk Analyst jobs in Oklahoma are:

Financial Crimes Risk Signal Analyst

STRIDE BANK NA

Oklahoma City, OK

Full-time

Posted 21 days ago


Job description

The Financial Crimes Risk Signal Analyst specializes in evaluating alerting signals, data inputs, and risk indicators used across fraud and BSA/AML/OFAC detection systems. The role ensures signals are performing as intended, validates data quality, and supports reporting that informs model and rule refinement across financial crime programs.

PRINCIPAL DUTIES AND RESPONSIBILITIES

  1. Researches and validates risk signals used in transaction monitoring, fraud scoring, and rule-based alerting.
  2. Ingests, cleanses, transforms, and validates data from diverse sources to support analytics, dashboards, and enabled models.
  3. Supports end-to-end life cycle of alerting quality and effectiveness for Financial Crimes Programs.
  4. Supports data quality dashboards, scorecards, and alerting mechanisms.
  5. Conducts data quality assessments, contributes to root-cause analysis, and participates in remediation planning.
  6. Assists in development of KRIs and KPIs such as detection efficiency, signal precision, and false-positive ratios.
  7. Maintains structured documentation supporting compliance, audit, model, and financial crimes risk governance.
  8. Collaborates with Compliance, Enterprise Data, and Risk teams to refine signal thresholds, rule logic, and detection coverage.
  9. Translates complex analytical concepts into accessible insights for varied technical and business audiences.
  10. Performs other duties as assigned.

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in Analytics, Information Systems, Finance, Criminal Justice, or related field, required.
  • 3-5 years' experience in fraud/AML analytics, risk signal validation, or operational risk monitoring, required.
  • 3-5 years' experience in BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required
  • Experience with data-driven roles involving large datasets, preferred.
  • Experience producing governance-grade validation or audit documentation, preferred.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong analytical and conceptual thinking skills, with the ability to assess risk signals, indicators, and detection logic.
  • Proficiency with SQL, PowerBI and comfort navigating transaction-level datasets.
  • Ability to translate signal performance issues into actionable insights.
  • Understanding of AML/fraud regulatory principles and risk detection concepts.
  • Familiarity with visualization tools for presenting findings to non-technical stakeholders.
  • High attention to detail, with strong documentation and audit readiness standards.
  • Knowledge of data quality domains and data lineage principles.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.