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Remote Bilingual Fraud Analyst Jobs (NOW HIRING)

TriOptus LLC

Customer Service Rep - III

$16.50 - $22.25/hr

Fraud Analyst Must Have Skills (Most Important): * 2 years analytical experience in a fraud control ... Working Model - Can be 100% remote.

UMB Financial

Sr. Fraud BI Analyst

Kansas City, MO · On-site +1

$98K - $144K/yr

The Enterprise Fraud Reporting & Analytics team is responsible for providing fraud reporting and ... However, the remote location must be within the US. How you will spend your time: * Design and ...

UMB Financial

Sr. Fraud BI Analyst

OR · On-site +1

$98K - $144K/yr

The Enterprise Fraud Reporting & Analytics team is responsible for providing fraud reporting and ... However, the remote location must be within the US. How you will spend your time: * Design and ...

System One

Fraud Management Specialist

Vienna, VA · Remote

$17.50 - $23/hr

Vienna, VA or Winchester, VA Work model: hybrid, onsite 3 days (2 days remote) Pay Rate: Open to W2 ... The position is analytical and operational in nature, requiring someone who can review large ...

System One

Fraud Management Specialist

Vienna, VA · Remote

$17.50 - $23/hr

Vienna, VA or Winchester, VA Work model: hybrid, onsite 3 days (2 days remote) Pay Rate: Open to W2 ... The position is analytical and operational in nature, requiring someone who can review large ...

Affirm

Manager, Machine Learning Engineering (Fraud)

$204K - $264K/yr

You will partner closely with Product, Fraud Analytics, Risk, and Platform teams to ensure high ... The majority of our roles are remote and you can work almost anywhere within the country of ...

Mission Lane

Principal Business Analyst, Fraud

$118K - $135K/yr

Analyze and Investigate Fraud Trends: Dive deep into application data to proactively identify ... remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

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Remote Bilingual Fraud Analyst information

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

As of Aug 7, 2026, the average hourly pay for remote bilingual fraud analyst in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote bilingual fraud analysts, and how can applicants prepare for them?

Remote Bilingual Fraud Analysts often face challenges such as quickly identifying fraudulent activity across multiple languages and time zones, and efficiently communicating with diverse clients or internal teams. Since you may work independently, strong self-motivation and time management skills are essential. Staying updated on the latest fraud detection techniques and utilizing language-specific resources helps in accurately assessing suspicious activity. Collaborating virtually with colleagues and adapting to different cultural nuances in fraud patterns are also key parts of the role.

What is a remote bilingual fraud analyst?

A Remote Bilingual Fraud Analyst is a professional who works from a remote location to detect, investigate, and prevent fraudulent activities for organizations, using their proficiency in two or more languages. They analyze transactions, review alerts, and communicate with customers or team members in different languages to ensure accurate fraud detection and resolution. This role often involves reviewing suspicious activities, preparing reports, and helping companies minimize financial losses due to fraud.

What are the key skills and qualifications needed to thrive as a remote bilingual fraud analyst?

To thrive as a Remote Bilingual Fraud Analyst, you need strong analytical skills, fluency in at least two languages, and a background in finance, criminal justice, or a related field. Familiarity with fraud detection systems, data analysis software, and case management tools is typically required, along with relevant certifications like CFE (Certified Fraud Examiner). Attention to detail, effective communication, and strong problem-solving abilities help you excel in cross-cultural investigations and remote teamwork. These skills are critical for accurately detecting fraudulent activity, minimizing financial losses, and maintaining trust across diverse customer bases.

What is the difference between Remote Bilingual Fraud Analyst vs Remote Bilingual Customer Service Representative?

AspectRemote Bilingual Fraud AnalystRemote Bilingual Customer Service Representative
Primary RoleDetects and prevents fraudulent activities, analyzes suspicious transactionsAssists customers with inquiries, resolves account issues, provides product information
Required SkillsAnalytical skills, fraud detection knowledge, bilingual communicationCustomer service skills, communication, bilingual fluency
Work EnvironmentFinancial institutions, e-commerce companies, remoteRetail, banking, tech companies, remote
CertificationsOften requires fraud prevention or security certificationsCustomer service or communication certifications optional

The Remote Bilingual Fraud Analyst focuses on identifying and preventing fraud, requiring analytical skills and security knowledge. In contrast, the Remote Bilingual Customer Service Representative handles customer inquiries and support. Both roles often operate remotely, serve similar industries, and benefit from bilingual skills, but their core responsibilities differ significantly.

More about Remote Bilingual Fraud Analyst jobs
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Remote Bilingual Fraud Analyst jobs near you
Infographic showing various Remote Bilingual Fraud Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Senior Data Scientist -- Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring two Senior Data Scientists to support advanced fraud analytics for a federal Office of Inspector General (OIG). You will design and deploy machine learning models that detect fraud, improper payments, and non-compliance across government programs — work that directly supports real audits and criminal investigations.
This is high-impact, mission-driven work. You will partner closely with criminal investigators and data engineers to turn large, messy datasets into actionable case leads, predictive models, and clear visualizations for both technical teams and executive leadership.What You’ll Do
  • Design, develop, and deploy advanced statistical and machine learning models (supervised and unsupervised) to identify fraud, improper payments, and non-compliance
  • Perform data quality analysis on source tables to surface abnormalities and inconsistencies
  • Build and refine repeatable processes for combining and analyzing large relational, structured, and unstructured datasets
  • Develop and test predictive models using regression, Bayesian, clustering, and ensemble methods; tune models for best fit
  • Collaborate with criminal investigators to shape analytic strategy, adapt to shifting case needs, and handle protected information in line with federal rules (e.g., Rule 6(e))
  • Integrate and scale NLP methods — OCR, semantic similarity, and large language models — to parse and analyze large text corpora
  • Develop case leads for investigations based on model outcomes
  • Build dashboards and visualizations (network graphs, interactive maps, plots) that communicate methodology and results
  • Document all methodology, test models, and production models in compliance with evidentiary requirements
  • Deliver findings in multiple formats — investigative data summaries and executive briefings
  • Create automation using tools such as Python, SQL, SharePoint, Excel, and Power BI
Required Qualifications
  • Master’s, Ph.D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field; OR 10 years of applied work experience in those fields
  • 5+ years of hands-on experience in each of:
    • Designing, implementing, and maintaining advanced AI systems and predictive models (supervised and unsupervised)
    • Developing analytic rules and models using leading-edge fraud analytics tools and best practices
    • Building regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables
  • 3+ years of hands-on experience in each of:
    • Providing data support for criminal investigations into fraud or abuse
    • Manipulating data in Python (Pandas required)
    • Working in a modern cloud environment (Azure, AWS, or GCP) — certifications preferred
  • 2+ years of hands-on experience in each of:
    • Advanced data analysis in SQL (SQL Server and PostgreSQL)
    • Developing and scaling NLP solutions
    • Presenting methods and findings to technical and non-technical stakeholders, both orally and in written products/visualizations
Preferred
  • Cloud certifications (Azure, AWS, or GCP)
  • Experience supporting government audits or investigations
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed
We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.