Remote Fraud Data Analyst Jobs in New York

🚀 Our Journey: Disrupting Data, Reimagining Integrity

In a world overwhelmed with information, we dared to ask: "How can we protect data without slowing down innovation?" That question sparked a revolution—and a team. A band of sharp minds, fueled by curiosity and conviction, set out to build something different: a culture where analytics meets ethics, and innovation is more than a buzzword.

We're a remote-first, forward-leaning organization crafting fraud detection strategies for companies that demand precision, agility, and transparency. Our impact spans continents, from small fintech startups to global e-commerce platforms. Today, we’re looking for someone just as bold to join us in our mission to outsmart fraudsters with flair.

💼 What You'll Be Doing (And Why You'll Love It)

As our Remote Fraud Data Analyst, you'll be the Sherlock Holmes of the digital domain. But instead of a magnifying glass, your tools are data modeling, anomaly detection, and machine learning. You'll scrutinize transaction patterns, decode deceptive behaviors, and help build robust fraud prevention systems that balance risk with customer delight.

🧠 Your Key Responsibilities:

• Analyze large datasets to uncover fraudulent behavior and emerging scam trends
• Create innovative, scalable fraud models using machine learning and real-time analytics
• Partner with diverse internal groups—engineers, product innovators, and product leads- to convert insights into prevention tools
• Monitor data flows and generate real-time alerts when anomalies appear
• Run A/B tests on fraud detection systems to continuously optimize outcomes
• Craft reports and dashboards for leadership with actionable intelligence
• Keep up with fraud schemes, industry shifts, and compliance frameworks

🌍 Your Virtual Playground: The Work Environment

You won’t find cubicles or water cooler gossip here. Your workspace is wherever you thrive—a quiet loft in Brooklyn or a breezy mountain cabin. We value flexibility, deep work, and results.

Our virtual offices buzz with daily stand-ups, Slack brainstorms, and Google Meet deep dives. Expect an atmosphere where creativity is encouraged, feedback flows freely, and high-fives are delivered via emojis. We love numbers, but we celebrate humans even more.

🎨 Why This Role Stands Out:

• Fully remote with asynchronous flexibility
• Autonomy to experiment, fail fast, and learn faster
• Involvement in projects that directly shape product and strategy
• Weekly innovation jams and data hackathons

🛠 Tools & Tech You’ll Tinker With

This isn’t a "sit and stare at spreadsheets" gig. We equip you with the best:

• SQL, Python, and R for slicing through data like a ninja
• Tableau, Power BI, and Looker for eye-popping dashboards
• Snowflake and BigQuery for lightning-fast data warehousing
• Jupyter Notebooks for beautiful, shareable analysis
• GitHub and Jira to keep the chaos organized
• Real-time monitoring tools that ensure no signal goes unnoticed

You'll feel right at home if you're also into writing the occasional predictive model in TensorFlow or diving into Neo4j for graph-based fraud.

🎓 The Analyst We’re Searching For

We're not looking for a robot. We want someone with a curious mind, a sharp eye, and a sense of humor (fraud can be funny when you're beating it).

✅ Must-Haves:

• 2+ years of experience in fraud analytics, risk intelligence, or data forensics
• Strong command of SQL along with experience in a scripting language such as Python (Python preferred)
• Strong understanding of fraud indicators, rules engines, and data pipelines
• Experience with data visualization tools to tell compelling stories
• Proven ability to work remotely and cross-functionally
• A passion for solving complex problems and making the internet safer

🌟 Nice-to-Haves (Not Dealbreakers):

• Experience in fintech, e-commerce, or cybersecurity
• Exposure to fraud detection platforms and scoring systems
• Knowledge of compliance standards like PCI-DSS, AML, or KYC
• A streak of creativity that extends beyond the dashboard

🌱 Grow With Us: What’s in It for You?

• Annual Salary: $82,640 (yes, you read that right)
• Generous performance bonuses
• Health and wellness stipends
• Paid parental leave and mental health days
• Ongoing learning, budgets, and certifications
• A culture of recognition, respect, and ridiculous memes

We don’t just grow careers. We grow people. Whether you want to lead a team, specialize in fraud tech, or transition into product strategy, this role is a launchpad.

🧠 How We Work Differently

We prioritize psychological safety, encourage bold ideas, and give you the room to build, break, and rebuild systems that matter. Our leadership isn’t afraid to get their hands dirty, and our interns sometimes lead product meetings. Titles are fluid; impact is everything.

This is more than a job. It’s a place where data ethics and innovation intersect, where your intuition counts as much as your logic, and where your voice shapes the future of fraud detection.

📣 Your Next Move (This Part's Exciting!)

Ready to turn your data obsession into a force for good? Think spreadsheets can fight crime? Then this role has your name on it.

Apply today and join a team where your curiosity is currency, your ideas matter, and your career trajectory points straight up.

Join us. Outsmart fraud. One data point at a time.