Fraud Operations - Principal Analyst

Credit One Bank; Las Vegas (NV); On-site; USD 140,000 - 210,000; Full time

Job summary

Credit One Bank in Las Vegas seeks an Fraud Operations Principal Analyst to lead complex investigations, oversee AI-enabled decisioning, and drive risk and governance across fraud programs.

This senior role influences strategy with measurable impact on controls and enterprise fraud posture.

Qualifications

• Bachelor’s degree in business, finance, criminal justice, risk management, data science, or analytics.
• 6+ years in fraud operations, risk management, or related roles.
• Expert-level knowledge of fraud investigations and AI-enabled decisioning.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Lead expert-level reviews of complex fraud cases and AI-driven decisions.
• Assess AI governance, model explainability, and risk controls.
• Identify systemic fraud risks and influence strategy and controls.
• Mentor analysts and establish investigation standards.

Skills

Fraud investigations

AI oversight

Risk management

Decision quality governance

Fraud trends analysis

Leadership & mentorship

Education

Bachelor's degree

Advanced degree or certifications

Tools

AI investigation platforms

Case management systems

Fraud analytics tools

Job description

Description

Position Summary

The Fraud Operations Principal Analyst serves as the highest individual contributor within Fraud Operations, providing expert-level leadership in fraud investigations, decision-quality governance, AI oversight, fraud intelligence, and operational risk management. This role is recognized as an enterprise authority on fraud trends, investigative methodologies, AI-enabled decisioning, fraud controls, and emerging financial crime threats.

The P4 Principal Analyst independently conducts the most complex and high-risk investigations, performs deep-dive reviews of fraud decisions, evaluates the effectiveness of AI-assisted decisioning, and influences fraud strategies across the organization. The role serves as a critical control point within the Bank's human-plus-AI operating tool, ensuring automated decisions remain accurate, explainable, compliant, fair, and aligned with business objectives.

Beyond investigative work, the SME drives fraud intelligence, operational excellence, AI governance, and continuous improvement efforts by identifying systemic risks, challenging existing assumptions, influencing fraud controls, and shaping future-state fraud capabilities. This role acts as a trusted advisor to Fraud Operations leadership, Fraud Strategy, Risk, Compliance, Analytics, and Technology teams.

Summary of Essential Job Functions

Fraud Expertise

• Serve as the highest-level subject matter expert for fraud investigations, fraud typologies, risk assessment methodologies, and fraud decision quality.
• Independently conduct expert-level reviews of complex, high-risk, escalated, precedent-setting, or business-critical fraud cases.
• Perform independent assessments of investigative outcomes, fraud controls, operational practices, and decisioning frameworks to ensure consistency and effectiveness.
• Resolve ambiguous fraud scenarios where standard procedures, policies, or automated solutions may be insufficient.
• Evaluate emerging fraud threats, attack vectors, criminal methodologies, and industry developments to proactively identify risks.
• Translate complex investigative findings into actionable recommendations that influence fraud strategy and operational performance.
• Serve as the final escalation point and trusted advisor on complex fraud matters.

Advanced AI Governance & Decision Quality

• Serve as the primary operational expert for AI-assisted investigations, human-in-the-loop decisioning, and AI governance practices.
• Independently evaluate and challenge AI-generated recommendations, risk scores, decision narratives, predictive indicators, fraud classifications, and automated actions.
• Conduct deep-dive reviews of AI decision quality to identify systemic issues, tool weaknesses, bias risks, decisioning inconsistencies, false positives, false negatives, and control failures.
• Evaluate tool explainability, transparency, fairness, compliance, and overall business effectiveness.
• Lead AI validation exercises, red-team testing, tool performance reviews, calibration sessions, and quality assurance initiatives.
• Define best practices for AI utilization, human oversight, escalation thresholds, and decision governance.
• Partner with Fraud Strategy, Data Science, Analytics, and Technology teams to influence AI tool development, prompt design, business rules, risk thresholds, and automated workflows.
• Drive continuous improvement of AI capabilities by translating operational findings into tool enhancements and decision-quality improvements.
• Act as the primary operational advocate for responsible AI practices and governance standards across Fraud Operations.

Strategic Analytics & Fraud Intelligence

• Lead advanced analytical reviews to identify emerging fraud trends, systemic vulnerabilities, enterprise risk exposures, and operational control weaknesses.
• Perform root cause analysis across fraud investigations, customer outcomes, AI decisions, and operational processes.
• Evaluate complex datasets and investigative intelligence to develop strategic recommendations that improve fraud detection and prevention effectiveness.
• Forecast emerging fraud risks and influence proactive mitigation strategies.
• Translate fraud intelligence into actionable business decisions and fraud strategy enhancements.

Technology & Digital Innovation

• Demonstrate expert-level proficiency utilizing AI-enabled investigation platforms, machine learning-based fraud solutions, behavioral analytics tools, case management systems, and advanced reporting technologies.
• Assess opportunities to expand automation, artificial intelligence, predictive analytics, and decision-support capabilities.
• Influence future-state fraud technologies, operational workflows, and AI-enabled investigative processes.
• Support technology evaluations, pilot programs, user acceptance testing, implementation efforts, and operational readiness activities.
• Continuously evaluate external technologies and industry best practices to improve fraud prevention effectiveness.

Leadership

• Serve as a recognized expert and trusted advisor across Fraud Operations, Fraud Strategy, Risk, Compliance, Analytics, Technology, and leadership teams.
• Provide mentorship, coaching, and technical guidance to analysts and fraud professionals across multiple levels.
• Establish investigative standards, decision-quality expectations, and AI governance best practices.
• Influence operational strategy, fraud controls, business rules, and risk mitigation efforts through expertise and analytical insights.
• Lead knowledge-sharing initiatives that elevate organizational fraud and AI proficiency.

Risk & Control Stewardship

• Identify enterprise-level control weaknesses, fraud vulnerabilities, policy gaps, and operational risks.
• Drive development of sustainable risk mitigation strategies and control enhancements.
• Support governance, audit, regulatory, compliance, and tool risk management activities.
• Ensure fraud controls and AI-assisted decisioning processes remain compliant, defensible, and aligned with organizational risk appetite.

Position Requirements

• Bachelor's degree in Business, Finance, Criminal Justice, Risk Management, Data Science, Analytics, Information Systems, or a related field
• 6+ years of experience in fraud operations, fraud strategy, financial crimes, risk management, fraud investigations, analytics, or related disciplines.
• Recognized subject matter expertise in fraud investigations, fraud typologies, risk assessment, fraud controls, and fraud decisioning.
• Demonstrated experience independently handling highly complex, high-risk, or precedent-setting investigations and fraud matters.
• Expert-level analytical, critical-thinking, and problem-solving capabilities with the ability to identify systemic risks, trends, root causes, and operational vulnerabilities.
• Advanced proficiency utilizing AI-enabled investigation tools, machine learning-driven fraud solutions, predictive analytics, behavioral analytics platforms, and automated decision-support technologies.
• Demonstrated expertise validating, challenging, and influencing AI-generated recommendations, risk assessments, predictive outcomes, and automated decision logic.
• Experience participating in AI governance, tool validation, decision-quality reviews, calibration exercises, red-team testing, or tool risk management activities.
• Strong understanding of responsible AI principles, including explainability, transparency, fairness, accountability, human oversight, and regulatory compliance.
• Advanced proficiency in fraud detection technologies, workflow platforms, case management systems, data visualization tools, and reporting solutions.
• Strong executive communication skills with the ability to translate complex fraud and AI concepts into actionable business recommendations.
• Proven ability to influence stakeholders and drive change

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.