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Fraud Protection Jobs in New York (NOW HIRING)

SoFi

Staff Fraud Analyst

New York, NY · On-site

Deep mastery of the trade-off between fraud mitigation and UX, ensuring security strategies protect ... the business without compromising key conversion and retention metrics. * Architect Scalable Data ...

Bally's Corporation

Risk & Fraud Analyst

Jersey City, NJ · On-site

$54K - $60K/yr

Escalate incidents, system issues, bugs, and process malfunctions that could impact player protection, fraud prevention, or regulatory compliance. Please note that this position has access to ...

Rain

Fraud Risk Support Analyst

New York, NY · On-site

$100K - $130K/yr

About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by ...

SoFi

Staff Fraud Analyst

New York, NY · On-site

$67K - $89K/yr

Deep mastery of the trade-off between fraud mitigation and UX, ensuring security strategies protect ... the business without compromising key conversion and retention metrics. * Architect Scalable Data ...

Plaid

Fraud Intelligence Lead

Manhattan, NY · On-site

Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assignments as volume shifts * Manage matrixed staffing and time allocation clearly between the Fraud PA and ...

Plaid Inc

Fraud Intelligence Lead

New York, NY · On-site

$148K - $232K/yr

Own coverage allocation across the Protect/IDV and Payments/ACH pods, including flexing assignments as volume shifts * Manage matrixed staffing and time allocation clearly between the Fraud PA and ...

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Fraud Protection information

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$13

$34

$60

How much do fraud protection jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for fraud protection in New York is $34.90, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $39.76 per hour, depending on experience, location, and employer.

What is the difference between Fraud Protection vs Fraud Analyst?

AspectFraud ProtectionFraud Analyst
Required CredentialsCertifications like ACFE, CFE, or related security certificationsSame certifications often preferred, with emphasis on analytical skills
Work EnvironmentSecurity teams, customer service, or fraud prevention departmentsData analysis, investigation teams, financial institutions
Employer & Industry UsageFinancial services, e-commerce, retailBanking, credit card companies, online platforms
Search & Comparison IntentPreventing fraud proactively, implementing security measuresInvestigating and analyzing fraud cases after occurrence

Fraud Protection focuses on preventing fraud through security measures and proactive strategies, while Fraud Analysts investigate and analyze fraud incidents after they occur. Both roles require similar credentials and often work within the same industries, but their core functions differ in approach and timing.

How hard is it to become a fraud protection?

Becoming a fraud protection professional typically requires a good understanding of cybersecurity, fraud detection techniques, and relevant tools. Many roles prefer candidates with a background in finance, criminal justice, or information technology, and certifications like Certified Fraud Examiner (CFE) can enhance job prospects. The difficulty varies based on experience, education, and the specific employer's requirements.

What degree do I need to work in fraud protection?

A degree in criminal justice, finance, cybersecurity, or a related field is often preferred for fraud protection roles. Relevant skills include knowledge of fraud detection tools, data analysis, and strong attention to detail; certifications like Certified Fraud Examiner (CFE) can also enhance job prospects.

What qualifications do I need to work in fraud protection?

To work in fraud protection, candidates typically need a high school diploma or equivalent, with many roles preferring or requiring a bachelor's degree in fields like finance, criminal justice, or cybersecurity. Relevant skills include attention to detail, analytical thinking, knowledge of fraud detection tools, and sometimes certifications such as Certified Fraud Examiner (CFE) or Certified Financial Crime Specialist (CFCS). Experience in customer service, banking, or security can also be beneficial.

What cities in New York are hiring for Fraud Protection jobs?

Cities in New York with the most Fraud Protection job openings:

Fraud Protection jobs near you
Infographic showing various Fraud Protection job openings in New York as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $72,590 per year, or $34.9 per hour.

Staff / Principal Data Engineer

Manhattan, NY • On-site

Appgate, Inc.
See more jobs at Appgate, Inc.external

$180 - $270/hr

Other

Posted 18 days ago

Job description

About the Role

We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands‑on and own the domain end-to‑end, alongside a small group of senior engineers, data scientists and product partners.

  • Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection.
  • Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest‑leverage engineering roles on the team.
  • Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust.
Key Responsibilities
  • Own the design, build and operation of the data lake and ingestion platform end‑to‑end, from architecture through production reliability.
  • Build low‑latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model‑ready data to the layers above.
  • Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time.
  • Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of.
  • Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval.
  • Own deployment, CI/CD and operational reliability of the platform on Kubernetes.
  • Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection.
Required Qualifications
  • Extensive experience building and operating large‑scale data platforms and data lakes, with comfort working at high data volumes.
  • Deep, hands‑on expertise with Apache Spark, Apache Flink and modern big‑data systems.
  • Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes.
  • Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end‑to‑end.
  • A track record of owning data infrastructure end‑to‑end with limited supervision.
Preferred Qualifications
  • Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval.
  • A cybersecurity or threat intelligence background, with hands‑on exposure to threat types such as phishing, mobile threats and malware.
  • Familiarity with transaction data and transaction fraud signals.
Compensation
  • Base salary range: $180 – $270
  • Bonus / commission: 15%
Travel
  • Minimal travel expected. This is an on‑site role based in New York City, with 3–4 days per week in the office.

AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

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