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Fraud Data Analyst Jobs in New York (NOW HIRING)

Fraud Data Analyst

Manhattan, NY · On-site

$105 - $175/hr

About the Role The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions.

New

Data Analyst Req ID: 10158683 The Subscriber Lifecycle & Commerce Analytics team is looking for a ... Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud ...

Sr. Fraud Analyst

New York, NY · Hybrid

$135K - $160K/yr

You will use data to shape how we detect, prevent, and respond to emerging fraud trends. You will ... Utilize data analytics to refine rules and reduce false/positives * Design new rules to address ...

Sr. Fraud Analyst

New York, NY · On-site

$135K - $160K/yr

You will use data to shape how we detect, prevent, and respond to emerging fraud trends. You will ... Utilize data analytics to refine rules and reduce false/positives * Design new rules to address ...

Fraud Analyst

New York, NY · Remote

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct ... Collect, analyze, and synthesize data from a variety of technical and open sources to produce ...

Fraud Analyst

New York, NY · On-site

$78K - $117K/yr

We are looking for a Fraud Analyst to join our Threat Intelligence team! What You'll Do: * Conduct ... Collect, analyze, and synthesize data from a variety of technical and open sources to produce ...

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Showing results 1-20

Fraud Data Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do fraud data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for fraud data analyst in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 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 New York?

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

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

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

Infographic showing various Fraud Data Analyst job openings in New York as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

$105 - $175/hr

Other

Posted 3 days ago

New


Job description

About the Business

LexisNexis® Risk Solutions provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection. We use the power of data and advanced analytics to help our customers make better, timelier decisions. Our innovative solutions enable our clients to manage risks like identity theft, fraud, money laundering and terrorism, and prevent financial crimes. Our core mission is to ultimately help make communities safer and to protect those who may be vulnerable to fraud. Drawing from the collective expertise of our experienced team, we continuously evolve to stay a step ahead of fraudsters. Every day, as millions go about their lives, it's our behind-the-scenes efforts that ensure their security, giving them the confidence to trust and engage online without fear of being de-frauded.

About the Role

The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions. This is primarily a consultant role with a technical and analytics bent.

Responsibilities
  • Review suspicious activity and complex fraud cases to identify new risks and issues
  • Analyze data in order to build and adjust rules that identify fraud, reduce friction, and regulate customer workflows in real-time
  • Deliver persuasive analyses to both technical and non-technical audiences – sometimes in-person at the customer site
  • Advise clients on best practices for their technical implementation and analysis of ThreatMetrix DDP and other LexisNexis Risk Solutions
  • Maintain on-going relationships with each client’s fraud managers, risk analysts, application developers, project managers as well as internally with other ThreatMetrix LNRS teams
Qualifications
  • Quantitative or technical degree
  • 3+ years of experience managing large customer-facing solutions
  • 3+ years of experience in financial services, banks, or e-commerce organizations
  • 3+ years of experience delivering analytics using tools such as Python (pandas, sklearn, matplotlib) or R
  • Demonstrated competence using SQL and Excel for reports
  • Willingness to conduct root-cause analysis of client’s issues and learn new products
  • Motivated to help customers succeed and deliver value through proof-of-concept analysis
  • Excellent communication skills, with the ability to present technical findings to non-technical stakeholders
  • Extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing priorities.
  • Experience investigating financial crimes and fraud -- account takeover, card not present, money laundering, social engineering etc.
  • Knowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.
  • Experience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection
Benefits and Compensation
  • U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
  • This job is eligible for an annual incentive bonus.
  • We know your well-being and happiness are key to a long and successful career.
  • We are delighted to offer country specific benefits.
Equal Opportunity Employer

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.

At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories. LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries.

For more information, please visit www.risk.lexisnexis.com and www.relx.com.

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