Consulting Manager, Fraud Analyst

Cognizant; Dallas (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Employee stock purchase plan

Employee assistance program

Paid holidays

Paid time off

Parental leave

Fertility assistance

Learning and development

Job summary

Cognizant Consulting is seeking a Fraud Data & Investigation Analyst to identify fraud-related data issues, perform root cause analysis, and translate findings into actionable solutions that strengthen fraud detection and operational efficiency.

You will collaborate with fraud operations, data teams, developers, and clients in a hybrid role based in Tulsa, OK, translating insights into user stories and acceptance criteria for Scrum teams.

Qualifications

• Deep expertise in fraud detection, prevention, and investigation.
• Experience analyzing fraud incidents across payment and banking channels.
• Strong data analysis, including root cause analysis and validating data integrity across platforms.
• Experience working with Agile Scrum teams and translating findings into user stories and acceptance criteria.
• Ability to collaborate with business stakeholders, product owners, engineers, and data teams to improve fraud detection and operational efficiency.
• Familiarity with fraud case management and incident review processes.

Responsibilities

• Analyze fraud incidents and suspicious activities across payment and banking channels.
• Identify emerging fraud risks and mitigation strategies.
• Investigate data discrepancies and data quality issues impacting detection systems.
• Validate data integrity across multiple platforms and sources.
• Translate findings into user stories and acceptance criteria for Agile teams.

Skills

Fraud detection

Fraud investigation

Data analysis

Root cause analysis

Data quality

Agile Scrum

Stakeholder collaboration

Data integrity

Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant's consulting practice, we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you?

About the role

As a Fraud Data & Investigation Analyst, you will make an impact by identifying fraud-related data issues, performing root cause analysis, and translating findings into actionable solutions that strengthen fraud detection and operational efficiency. You will be a valued member of the fraud operations and data team and work collaboratively with business stakeholders, product owners, Scrum Masters, data engineers, developers, and clients.

In this role, you will

• Analyze fraud incidents, transaction patterns, and suspicious activities across payment and banking channels, and conduct deep-dive investigations into fraud trends, anomalies, and operational losses.
• Identify emerging fraud risks, recommend mitigation strategies, and support incident reviews and fraud case management activities.
• Investigate data discrepancies, reporting inconsistencies, and data quality issues impacting fraud detection systems, and perform root cause analysis on fraud-related data problems and system defects.
• Validate data integrity across multiple platforms and data sources, and develop recommendations for improving data accuracy, monitoring, and controls.
• Partner with Agile Scrum teams by translating fraud investigation findings into user stories and acceptance criteria, participating in Sprint ceremonies, and providing fraud domain expertise to support solution design and prioritization.

Work model

At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Tulsa, OK. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered

• Deep expertise in fraud detection, prevention, and investigation, with a strong understanding of fraud typologies and transaction monitoring.
• Proven experience analyzing fraud incidents, transaction patterns, and suspicious activities across payment and banking channels.
• Strong data analysis skills, including root cause analysis, data quality assessment, and validating data integrity across multiple platforms and sources.
• Experience collaborating with Agile Scrum teams, including translating findings into user stories and acceptance criteria and participating in Sprint ceremonies.
• Ability to work closely with business stakeholders, product owners, engineers, and data teams to improve fraud detection capabilities and operational efficiency.

These will help you succeed

• Highly analytical and hands-on approach to solving complex fraud and data problems.
• Experience improving fraud detection systems and operational controls.
• Strong communication skills to bridge business, fraud operations, data, and engineering teams.
• Familiarity with fraud case management and incident review processes.
• Comfort operating in a fast-paced, iterative delivery environment.

Benefits

• Medical, dental, vision and life insurance
• 401(k) plan and contributions
• Employee stock purchase plan
• Employee assistance program
• 10 paid holidays plus PTO
• Paid parental leave and fertility assistance
• Learning and development certifications and programs