15 часов назад
Fraud Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud Analyst (AI): Improving fraud detection across DataDome’s product line by analyzing customer traffic, investigating fraud cases, and identifying new detection signals with an accent on account takeover, fake subscriptions, and web threats. Focus on exploring fraud patterns, automating analysis with Python, SQL, scripting, and AI, and translating customer insights into product improvements.
Location: US-based remote
Company
provides real-time bot and agent trust management, using AI-driven traffic analysis to protect websites, applications, APIs, and MCPs from fraud and automated attacks.
What you will do
- Develop deep expertise in fraud patterns across customer traffic, including account takeover and fake subscriptions.
- Improve the long-term quality of fraud detection across the product line.
- Analyze and report on customer fraud cases.
- Act as a power user in fraud detection product development and recommend UI improvements and new detection signals.
- Work with Solution Engineers to capture customer insights, meet detection performance expectations, and influence product evolution.
Requirements
- Bachelor’s degree.
- Strong interest in data exploration and analysis.
- Good communication skills for working with technical and non-technical stakeholders.
- Strong time management and prioritization skills.
- Mastery of Python and SQL.
- Experience with cybersecurity, web threats, or fraud, plus the ability to automate tasks with scripting and AI.
Nice to have
- Experience implementing bots as a personal project.
- Experience using Kibana and Elasticsearch.
- Previous experience in technical support and willingness to discuss cases directly with product end users.
Culture & Benefits
- Fully remote work for US-based employees.
- $500 stipend for setting up a home workspace.
- Medical, dental, and vision insurance options.
- Professional development through an internal learning platform and additional training support.
- 20 paid time-off days, 5 sick days, 2 floating holidays, and 12 national holidays.
- 401(k) eligibility with matching, annual sports allowance, parent care packages, and company events.
Hiring process
- Initial conversation with a Talent Acquisition Specialist.
- Interviews with Research and Data Science leadership, the Head of Technology, and the CEO.
- Technical assessment with a presentation of findings during a peer interview.
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