Cyber Security Fraud Analyst

🕒 Março 31

🌐 Polônia, Argentina – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♂️ Cibersegurança / Engenheiro de Segurança

👻 Score fantasma 40%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Intuition Machines

Intuition Machines

51 - 200 funcionários

Fundada em 2014

🤖 Inteligência Artificial

🔒 Cibersegurança

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Intuition Machines é líder em inteligência de máquinas, especializada em plataformas e pesquisa de IA com preservação de privacidade. A empresa fornece produtos e serviços de IA/ML para alguns dos maiores serviços online do mundo, com foco em escalar e resolver problemas complexos usando machine learning. A Intuition Machines desenvolve soluções inovadoras como o hCaptcha Security Suite, utilizado por empresas globalmente para proteger centenas de milhões de pessoas com sua abordagem privacy-first para segurança em IA. As ofertas da empresa incluem a IM Perception Platform, que automatiza o ciclo de train-deploy-improve, com foco em active learning e APIs robustas. Além disso, a Intuition Machines realiza pesquisa de ponta em IA/ML, contribuindo para avanços em machine learning para segurança, detecção de fraude e privacidade de dados. A empresa também colabora com os principais processadores de pagamento online, oferecendo modelos com alta precisão e quase zero falsos positivos, sem usar informações pessoais identificáveis (PII). Vale notar que a Cloudflare escolheu o hCaptcha Enterprise da Intuition Machines para proteger uma parte significativa dos sites da internet.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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