Cyber Security Fraud Analyst

🕒 March 31

🌐 Poland, Argentina – Remote

🇵🇱 Poland – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Intuition Machines

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Intuition Machines is a leader in machine intelligence, specializing in privacy-preserving AI platforms and research. The company provides AI/ML products and services to some of the largest online services worldwide, focusing on scaling and solving complex problems using machine learning. Intuition Machines develops innovative solutions like the hCaptcha Security Suite, which is used by enterprises globally to protect hundreds of millions of people with its privacy-first approach to security AI. The firm's offerings include the IM Perception Platform, which automates the train-deploy-improve cycle with a focus on active learning and robust APIs. Additionally, Intuition Machines engages in cutting-edge AI/ML research, contributing to advances in security machine learning, fraud detection, and data privacy. The company also collaborates with top online payment processors, offering models with high precision and almost zero false positives, without using personally identifiable information. Notably, Cloudflare has chosen Intuition Machines' hCaptcha Enterprise for securing a significant portion of internet sites.

📋 Description

• Monitor, identify, and analyze events from financial transactions, web traffic, and other data sources to detect and respond to fraudulent activities • Conduct advanced investigations of suspected fraud, analyzing behavior patterns and anomalies to assess risk and determine appropriate actions • Collaborate with Engineering, Product, and Customer Support teams to enhance fraud detection and prevention strategies • Help build and align fraud detection automation, dashboards, and reports • Continuously audit and refine fraud detection measures for compliance with industry standards and best practices • Stay informed of emerging fraud trends, technologies, and regulatory changes • Develop actionable insights to enhance fraud detection capabilities • Collaborate with machine learning teams to improve AI/ML detection and response systems

🎯 Requirements

• Minimum of 3 years of experience in fraud detection, financial data analysis, risk management, or trust & safety • Proficiency in SQL and ideally Python for data analysis and visualization • In-depth understanding of fraud detection methodologies and the fraud landscape • Ability to work with large datasets and derive actionable insights • Excellent problem-solving skills, with a detail-oriented and analytical mindset • Strong communication and collaboration skills in English, able to work effectively across teams • Familiarity with the analysis of web-based and API abuse • Familiarity with coding using AI agents; ability to read and understand every line of code with your name on it • Hands-on experience with web security and secure configuration practices is a plus • Interest in staying current with industry trends and fraud prevention technologies • Familiarity with modern fraud machine learning practices • Valid CFE, CFS, CFF, or CISA certification is a plus • Must complete pre-employment screening, including third-party verification of work history, education, and identity • Must complete a final in-person interview and identity verification step in the country of residence

🏖️ Benefits

• Fully remote position with flexible working hours • Access to the top 3 coding-agent models • Inspiring team of colleagues spread all over the world • Pleasant, modern development and deployment workflows: ship early, ship often • High impact: lots of users, happy customers, high growth, and cutting-edge R&D • Flat organization, direct interaction with customer teams • Inclusive environment committed to equality of opportunity