Cybersecurity Data Analyst

Descripción De La Vacante
Spain
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Cyber Security Statistical Hypothesis Testing Machine Learning Information Technology Cybercrime Data Analytics

Requirements

Descripción de la vacante Experteer Overview As a Cybersecurity Data Analyst in the Global Threat Management team, you turn large-scale security data into actionable intelligence. You design analytics, ML, and AI-assisted solutions to anticipate and prioritise threats before they become incidents. You will work across geographies to improve ING’s detection and defensive posture and collaborate with threat hunters and detection teams. This role offers a chance to shape security analytics in a fast-paced, mission-driven environment. You thrive on turning data into impact and will drive measurable risk reduction.Compensaciones / Beneficios* Apply advanced analytics, machine learning, and AI-assisted models to identify, prioritise, and investigate cyber threats.* Transform large-scale security, threat intelligence, and telemetry data into actionable insights for hunters and decision-makers.* Develop data-driven threat models linking adversary behaviour, vulnerabilities, and exposure.* Leverage automation and AI to speed up threat analysis, pattern discovery, and hypothesis testing.* Collaborate with threat hunters and detection teams to operationalise analytics into real-world security use cases.* Communicate analytical outcomes clearly to both technical and non-technical stakeholders.Responsabilidades* Translate complex cyber threat problems into data-driven solutions.* Practical experience applying data science, ML, or AI to real-world outcomes.* Comfort working with large, diverse, imperfect datasets.* Ability to partner with cybersecurity experts to deliver operational impact.* Balance innovation with governance, quality, and explainability.* Clear communication of insights to influence decisions.* Degree in Data Science, Computer Science, Mathematics, Engineering, or related field, or equivalent practical experience.* Relevant certifications in data science, ML, cloud platforms, or cyber security are advantageous.* English level - B2Requisitos principales* flexible work model* restaurant card* health insurance for family* life insurance* flexible remuneration* transport allowance

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