Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль хорошо очерчена и дает заметную ответственность за отчетность по безопасности в крупном банке, но без зарплаты сложнее оценить финансовую привлекательность предложения.
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Зарплата не указанаАктуальные технологииЧеткая зона ответственностиФинтех и безопасность
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Exposure Management Data Analyst 100% (f/m/d) (Tableau/Python): Building and maintaining security exposure dashboards, metrics, composite scores, and reproducible reporting for penetration testing, infrastructure vulnerabilities, and security configuration compliance with an accent on data modelling, metric governance, and scalable transformations. Focus on designing new exposure measures, validating aggregated per-service risk scores, and replacing manual supervisory responses with standardized reporting mapped to underlying data.
Location: Madrid, Spain
Company
hirify.global is a wealth management bank developing security exposure reporting within its Security Compliance Competence Centre.
What you will do
Own, maintain, and extend dashboards and reports covering penetration testing, infrastructure vulnerabilities, and security configuration baseline compliance.
Design, document, and version formulas for security exposure measures, ensuring consistent definitions, calculations, and ownership.
Build and maintain searches and data transformations that aggregate per-asset security results at scale, including coverage checks for reporting continuity.
Define and implement measures for newly managed exposure domains where no established metrics exist.
Design, validate, and support adoption of an aggregated per-service exposure score for proportionate, risk-based governance.
Replace manual supervisory-request responses with standardized, reusable, reproducible reporting mapped to underlying data.
Requirements
Hands-on expertise with an enterprise business intelligence platform, preferably Tableau, including data modelling, calculated fields, level-of-detail expressions, extract strategy, and performance tuning.
Proven ability to design and document metrics and composite scores, including weighting, missing-data treatment, sensitivity, and validation.
Experience defining a measure from scratch in a domain without an established metric and getting it accepted by the measured stakeholders.
Scripting experience for data transformation and automation, ideally in Python, with maintainable, documented, version-controlled work.
Bachelor's degree in computer science, data engineering, information security, or equivalent practical experience.
Five or more years of experience in data analytics or data engineering, including direct responsibility for reporting used by others.
Fluency in English.
Culture & Benefits
Work within the Security Compliance Competence Centre in Madrid.
Collaborate with stakeholders across delivery and governance functions.
Contribute to a globally governed security function operating under increasing regulatory scrutiny.
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