Remote Fraud Data Analyst Jobs in New York

✨ Shape the Future of Digital Security ✨

Are you excited about protecting online transactions and leveraging data to outsmart fraud? We seek skilled professionals to fill Remote Fraud Data Analyst positions in a fully remote role based in New York. Suppose you're looking for work-from-home Fraud Data Analyst opportunities where your impact matters. This position offers the perfect blend of growth, innovation, and fulfillment. With a competitive annual salary of $76,545, you’ll be stepping into a role that prizes expertise and forward-thinking solutions in fraud prevention.

Position Summary

Remote Fraud Data Analyst Overview

As a Remote Fraud Data Analyst, you will be key in uncovering and mitigating fraudulent activities. Your primary focus will be turning complex data into actionable strategies, safeguarding users and business operations. Working across teams, you’ll contribute to the company's cutting-edge fraud prevention initiatives while enjoying the flexibility of remote work. This opportunity suits professionals motivated to innovate and solve dynamic challenges in financial crime analytics.

Core Responsibilities

Data Analysis and Pattern Recognition

• Examine extensive datasets to recognize fraud indicators and patterns within remote financial ecosystems.
• ➗ Develop and implement fraud monitoring tools and interactive dashboards.

Investigations and Reporting

• Conduct in-depth analyses of suspicious transactions and compile comprehensive investigative reports.
• Collaborate with information security and risk management teams to enhance detection protocols.

Real-Time Monitoring and Automation

• Oversee real-time data streams, building automated solutions for rapid fraud identification.
• Design proactive countermeasures to reduce financial exposure.

Strategic Analysis and Research

• Generate fraud trend insights that influence organizational strategy.
• Monitor new fraud vectors and anticipate emerging tactics.
• Contribute to refining AI-driven and rules-based detection technologies.

System Integration and Collaboration

• Work with product teams to embed fraud mitigation measures into digital platforms.

✨ Candidate Snapshot

We seek self-motivated individuals who are highly analytical and comfortable working remotely. You're the ideal fit if you’re exploring Remote Fraud Data Analyst jobs and are passionate about data-driven fraud prevention. Innovation, adaptability, and strategic thinking are key traits for success.

Desired Qualifications

Educational Background

• Bachelor's degree in Data Science, Statistics, Finance, or a closely related discipline.

Work Experience and Technical Skills

• Minimum of two years of applied experience in fraud risk analysis or threat intelligence.
• Proficiency with SQL, Python, R, or equivalent data analysis tools.
• Knowledge of machine learning applications in fraud scenarios is highly valued.
• Familiarity with varied fraud typologies and forensic investigation techniques.
• Experience with BI tools like Tableau or Power BI.

Soft Skills and Mindset

• Demonstrated ability to draw conclusions from large data volumes and communicate them.
• Excellent organizational, problem-solving, and decision-making skills.
• A continuous improvement mindset and intellectual curiosity.

Key Skills and Expertise

Analytical Excellence

• Proficient in identifying statistical outliers and security anomalies.
• Skilled at translating behavioral data into actionable fraud prevention plans.
• Exceptional at prioritizing high-risk cases while maintaining accuracy.

Technology Fluency

• Hands-on experience with enterprise-grade anti-fraud platforms.
• Ability to quickly adopt and master new detection systems and investigative frameworks.
• Exposure to fraud analytics integrations within payment and e-commerce environments.

Collaborative Communication

• Strong cross-functional team collaboration with cybersecurity and governance units.
• Clear communicator able to simplify complex analytics for various stakeholders.
• Builds effective internal networks to strengthen fraud detection infrastructure.

What You’ll Gain

Join a workplace where Remote Fraud Data Analyst jobs don't just offer employment—they offer meaningful contributions and professional advancement.

Flexibility and Work-Life Balance

• Enjoy 100% remote work privileges from any location in New York.
• Collaborate during defined hours to optimize fraud response operations.

Career Growth

• Access to certifications in fraud strategy, cyber forensics, and compliance analytics.
• Progress toward leadership roles in data-driven security functions.
• Exposure to state-of-the-art anti-fraud frameworks and predictive modeling tools.

Meaningful Impact

• Help fortify online trust for businesses and customers alike.
• Drive innovation in early fraud detection methodologies.
• Defend billions in digital transactions across multiple platforms.

Comprehensive Benefits Package

• Annual salary of $76,545.
• Health, dental, and vision plans are fully covered.
• Employer-matched 401(k) plan.
• Paid time off including vacation, sick days, and holidays.
• Mental wellness resources and work-from-home support programs.

A Typical Day in the Role

Your day as a Remote Fraud Data Analyst starts with reviewing alerts triggered by automated surveillance systems. Mornings involve analyzing suspicious behavior flagged overnight. You engage in virtual syncs with anti-fraud teams to update detection metrics. Throughout the day, you refine queries, enhance fraud models, and contribute to improving automated risk engines. In the afternoon, you may present to leadership or support the rollout of new detection rules. By day’s end, your work has reduced threat exposure and strengthened operational resilience.

Making an Impact

• Help lower organizational fraud rates through strategic interventions.
• Strengthen platform safety and bolster user trust.
• Pioneer adaptive risk defense mechanisms responsive to new threats.
• Enhance threat intelligence frameworks through your analytical input.
• Influence security strategy at scale through data insights.

✨ Ready to make an impact? Apply today! ✨

Publish on: Apr 27, 2025