Cyber Security Fraud Analyst

Intuition Machines, Inc.; Tandil; Remote; ARS 181,747,000 - 242,329,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Global team

Job summary

Intuition Machines, Inc. is seeking an experienced Senior Cybersecurity Fraud Analyst to help detect and investigate fraud across our hCaptcha SaaS platform.

You will analyze financial transactions and web traffic, develop insights, and collaborate with ML teams to improve AI/ML detection and response systems. This fully remote role offers global collaboration and high-impact work.

Qualifications

• 3+ years in fraud detection, financial data analysis, risk management, or trust & safety.
• Proficient in SQL; Python experience preferred for data analysis.
• Strong understanding of fraud detection methodologies and landscape.
• Ability to work with large datasets and derive actionable insights.
• Excellent problem-solving and analytical mindset.
• Strong English communication and cross-team collaboration.
• Familiarity with web-based and API abuse analysis.

Responsibilities

• Monitor, identify, and analyze events from diverse data sources to detect fraud.
• Conduct advanced investigations of suspected fraud and assess risk.
• Collaborate with Engineering, Product, Customer Support to improve detection and prevention.
• Help build fraud detection automation, dashboards, and reports.
• Continuously audit fraud measures to ensure industry compliance.
• Stay informed on emerging fraud trends and regulatory changes.

Skills

SQL

Python

Fraud detection

Data analysis

Problem solving

Communication in English

Web/API abuse analysis

Job description

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

As a Senior Cybersecurity Fraud Analyst, you will use your expertise in data analysis, financial transactions, and web traffic analysis to identify and investigate potential fraudulent activities within our hCaptcha SaaS security platform.

Your primary responsibilities will include conducting advanced investigations into complex fraud patterns, developing actionable insights to enhance our fraud detection capabilities, and collaborating with machine learning teams to continuously improve our AI/ML detection and response systems.

Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.

What will you do:

• 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, 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

What we are looking for:

• 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

Nice to Have:

• Hands-on experience with web security and secure configuration practices
• Interest in staying current with industry trends and fraud prevention technologies
• Familiarity with modern fraud machine learning practices
• Holding a valid CFE, CFS, CFF, or CISA certification is a plus

What do we offer:

• 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

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.