Cyber Security Fraud Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 17h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 14d ago
The date the source published, not the day we noticed it (2026-10-19). Last seen at its source 2h ago.
We have tracked this listing since 19 Oct 2026 (14 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland, Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- Europe $90k–183k/yr (73 listings, all levels)
- LATAM $1,200–2,300/mo (49 listings, all levels)
Middle 50% of Operations listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 14d ago · last seen 2h ago
The listing
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.