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Strategic Fraud Intelligence Analyst (Fintech)

Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Strategic Fraud Intelligence Analyst (Data Analytics/Fintech): Conducting deep-dive analysis of fraud patterns to support high-impact engagement strategies for prospective customers with an accent on hypothesis-driven investigation and behavioral biometrics. Focus on translating complex data into evidence-based narratives and uncovering specific vulnerabilities to drive revenue growth.

Location: Israel - Tel Aviv (TLV)

Company

hirify.global is a leader in Behavioral Biometrics, leveraging machine learning to analyze user behavior to protect financial institutions and individuals from online fraud.

What you will do

  • Perform targeted analysis of hirify.global and external data to identify customer- or segment-specific fraud patterns, risks, and vulnerabilities.
  • Apply advanced analytical techniques and hypothesis-driven investigations to uncover insights not visible through high-level trend analysis.
  • Translate analytical findings into tailored, prospect-relevant narratives that articulate fraud exposure and business impact.
  • Develop insight-driven materials, including customer-specific briefings and strategic reports, to support commercial engagement.
  • Design and develop effective data visualizations to simplify complex findings for internal and external stakeholders.
  • Leverage AI-assisted analytical tools to scale analysis while ensuring rigorous data validation and accuracy.

Requirements

  • Bachelor’s or Master’s degree in a STEM field or self-directed technology-focused education in data analytics or programming.
  • Experience in fraud, financial crime, or data analysis.
  • Intermediate to advanced SQL skills.
  • Proficiency with Python and/or R.
  • Hands-on experience with AI tools for research and analysis.
  • Strong written and verbal communication skills for delivering messages to executive-level audiences.

Nice to have

  • Banking industry experience.
  • Ability to operate in ambiguous environments with incomplete or imperfect data.
  • Proactive mindset for experimenting with new analytical approaches.

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