Senior Cyber Security Fraud Analyst

August 20

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Intuition Machines

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Machine learning products and services at scale$1. .$1

machine learning and AI

51 - 200

Description

• Monitor, identify, and analyze events from diverse data sources, including financial transactions and web traffic, 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 cross-functional teams, including Engineering, Product, Customer Support, and SOC, to enhance fraud detection and prevention strategies. • Help build and align fraud detection automation, dashboards, and reports. • Continuously audit and refine fraud detection measures to ensure compliance with industry standards and best practices. • Stay informed of emerging fraud trends, technologies, and regulatory changes to keep our fraud prevention strategies up-to-date.

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.

Benefits

• Fully remote position with flexible working hours. • An 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.