pythonsqlrisk managementfraud detectionmachine learningcybersecurityweb securitytrust and safetyfinancial data analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Без указания зарплатыАктуальные технологииИИ и кибербезопасностьОграничение по странамПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Cybersecurity Fraud Analyst (AI/ML and SaaS security): Investigating fraudulent activity across financial transactions, web traffic, and behavioral data within the hCaptcha security platform with an accent on advanced fraud analysis, detection automation, and actionable risk insights. Focus on analyzing large datasets, identifying complex abuse patterns, collaborating with machine learning teams, and refining AI/ML fraud detection systems.
Location: Remote; listed locations are Warsaw, Poland, and Buenos Aires, Argentina. The final in-person interview and identity verification step will be conducted in the candidate's country of residence.
Company
hirify.global builds AI/ML-powered enterprise security products, including the hCaptcha SaaS security suite, for systems serving hundreds of millions of people.
What you will do
Monitor, identify, and analyze events from financial transactions, web traffic, and other data sources to detect and respond to fraudulent activity.
Investigate suspected fraud by analyzing behavioral patterns, anomalies, and risk factors to determine appropriate actions.
Collaborate with Engineering, Product, Customer Support, and machine learning teams to improve fraud detection and prevention strategies.
Help build and align fraud detection automation, dashboards, and reports.
Audit and refine fraud detection measures against industry standards and best practices.
Track emerging fraud trends, technologies, and regulatory changes.
Requirements
At least 3 years of experience in fraud detection, financial data analysis, risk management, or trust and 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, including effective cross-team work.
Familiarity with analyzing web-based and API abuse.
Ability to read and understand every line of code produced with coding agents; code is reviewed by people and machines.
Nice to have
Hands-on experience with web security and secure configuration practices.
Interest in current industry trends and fraud prevention technologies.
Familiarity with modern fraud machine learning practices.
Valid CFE, CFS, CFF, or CISA certification.
Culture & Benefits
Fully remote position with flexible working hours.
Distributed international team with small teams, low overhead, and rapid iteration.
Modern development and deployment workflows focused on shipping early and often.
High-impact work supporting many users and customers, with cutting-edge R&D.
Flat organization with direct interaction with customer teams.
Pre-employment screening includes third-party verification of work history, education, and identity.
Hiring process
Interviews include familiarity with coding agents and evaluation of code reliability and correctness.
Pre-employment screening and a final in-person interview with identity verification are conducted in the candidate's country of residence.
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