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Internship Remote Fraud Analyst Jobs (NOW HIRING)

Spokeo

Business Analyst, Payments and Fraud

Pasadena, CA · On-site +1

$103K - $132K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Payments & Fraud Analytics * Support and enhance the development of payments and fraud KPIs ...

Affirm

Fraud Analytics & Strategy Analyst II

Phoenix, AZ · On-site +1

$124K - $190K/yr

... Analyst to enhance fraud decisioning strategies. This role requires 2-4 years of experience in ... Affirm offers a remote-first work environment, competitive salary, and generous benefits including ...

ESL Federal Credit Union

Fraud Investigator

Rochester, NY · Remote

$80K - $101K/yr

This position is remote eligible for up to 40% of the time. The shift is typically Monday - Friday ... Collect and analyze evidence, document findings, and make determinations on fraudulent activities ...

ELS

Fraud Investigator

Rochester, NY · Remote

$80K - $101K/yr

This position is remote eligible for up to 40% of the time. The shift is typically Monday - Friday ... Collect and analyze evidence, document findings, and make determinations on fraudulent activities ...

Manulife

Analyst - Fraud, Waste & Abuse

OR · Remote

$61K - $103K/yr

This is a Remote role open to candidates in any US state or Canadian province. Position ... Archer and Advanced Analytics; assess fraud prevention criteria semi-annually and make ...

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How much do internship remote fraud analyst jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for internship remote fraud analyst in the United States is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $24.04 per hour, depending on experience, location, and employer.

What does a remote fraud analyst intern do?

A remote fraud analyst intern assists in detecting and preventing fraudulent activities by analyzing data, monitoring transactions, and identifying suspicious patterns from a remote location. They typically work with security and compliance teams to investigate alerts, review flagged accounts or transactions, and document findings. Interns may also help develop and implement strategies or tools to reduce the risk of fraud, while learning industry best practices in risk management and cybersecurity.

What are the key skills and qualifications needed to thrive as an Internship Remote Fraud Analyst, and why are they important?

To thrive as an Internship Remote Fraud Analyst, you typically need strong analytical abilities, attention to detail, and a background in finance, business, or a related field. Familiarity with fraud detection tools, data analytics software (such as Excel or SQL), and sometimes specialized platforms like SAS or Actimize is beneficial. Excellent communication, problem-solving skills, and the ability to work independently are important soft skills for this remote role. These skills and qualities enable accurate identification of suspicious activity, timely risk mitigation, and effective collaboration with remote teams to protect organizational assets.

What are the typical daily tasks and collaborative responsibilities of a remote fraud analyst intern?

As a remote fraud analyst intern, your daily tasks often include monitoring transactions for suspicious activity, analyzing data to identify potential fraud patterns, and preparing reports for senior analysts. You’ll likely collaborate with compliance teams, customer service representatives, and other analysts to investigate cases or escalate findings. Interns are encouraged to participate in team meetings and contribute to process improvements, gaining hands-on experience with fraud detection technology and real-world risk scenarios while working closely with experienced mentors.
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Internship Remote Fraud Analyst jobs near you
Infographic showing various Internship Remote Fraud Analyst job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $43,363 per year, or $20.8 per hour.

Director, Fraud Analytics Consulting - Remote

Experian

Costa Mesa, CA • On-site, Remote

$176K - $316K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
The Fraud Analytics & Commercialization team drives Experian's fraud analytics business through four integrated functions - pre-sales engagement, scalable and custom solutions, consulting, and operational enablement - with the goal of becoming the industry's provider-of-choice. The Director of Fraud Analytics Consulting will work directly with major financial institutions to co-build custom fraud detection models and help clients understand emerging fraud trends. The role calls for a seasoned data scientist with an impact-focused mindset and strong collaborative, critical-thinking, and problem-solving skills - and welcomes candidates from unconventional backgrounds who demonstrate curiosity and self-direction. In addition to client-facing analytical work, the Director will mentor and develop the team, partner with product teams to scale analytics capabilities, and foster a culture of thoroughness, empathy, and shared success.
This is a remote position. You will report to the SVP of Fraud Analytics.
You will have opportunity to:
  • Partner with major financial institutions and emerging market clients to help them realize the full potential of Experian's proprietary fraud data and analytics solutions
  • Co-develop custom fraud detection models with client teams, guiding them through the data, the analytics environment, and Experian's proprietary fraud detection methodologies
  • Conduct investigative analytics to help clients identify new fraud trends, emerging risk patterns, and evolving threats across their portfolios
  • Design and implement scalable proof-of-value processes, including standardized templates and automation, to support expansion into new markets and client segments
  • Build self-serve tools and onboarding resources that accelerate time-to-value for down-market clients and support their path to self-sufficiency
  • Partner with product teams to shape the analytics consulting strategy for market expansion
  • Lead, mentor, and develop a small team of data scientists, creating an environment where curiosity, collaboration, and continuous growth are the norm
  • Serve as a trusted advisor and subject matter expert to clients, translating complex analytical concepts into clear, actionable insights

Qualifications
  • 7+ years of experience in data science, analytics, or a related quantitative field
  • Bachelor's or Master's degree in Statistics, Applied Mathematics, Econometrics, or a related quantitative discipline - or an equivalent combination of education and experience that demonstrates strong quantitative reasoning and analytical ability
  • Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; experience in fraud and/or credit analytics preferred
  • Strong investigative analytics mindset - skilled at identifying patterns, forming hypotheses, and drawing meaningful conclusions from complex, large-scale datasets
  • Demonstrated ability to lead, mentor, and develop data scientists
  • Experience working with clients or business partners in a consulting, advisory, or client-facing analytics role
  • Able to translate an ambiguous client need into a well-defined hypothesis with an analytical plan to address it
  • Experience designing scalable analytical processes, tools, or frameworks - ideally in a context where repeatability and efficiency were business priorities
  • Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-scale data processing frameworks and cloud platforms, especially Spark and AWS
  • Willingness to travel periodically for on-site client workshops and engagements

Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks:
  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/

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