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# Data-Driven Cyber Security Analyst

- **Company:** ABN AMRO Bank N.V.
- **Location:** Rotterdam, Netherlands
- **Experience:** Expert
- **Salary:** €6,240.0 - €6,933.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cyber Security, Information Engineering, Intrusion Detection and Prevention, Python (Programming Language), Network Security, Microsoft Security Essentials, Monte Carlo Methods, Power BI, Kusto Query Language, SQL Databases, Mitre Att&ck, Archimate, Data Analytics, Dynamic Data, Databricks
- **Published:** July 9, 2026
- **Apply:** https://www.werkenbijabnamro.nl/vacature/8878/data-driven-cyber-security-analyst?utm_source=datajobs&utm_medium=referral&utm_campaign=EB-jobboards&utm_id=CP0003015

## About the Role

* Experience: 5+ years in cybersecurity, with a strong focus on data science.
 * Certifications: While not mandatory, certifications such as CISSP, GIAC/SANS (e.g., GDSA, GICSP), or similar are highly valued.
 * Cyber-threat & risk modelling: Deep familiarity with MITRE ATT&CK, D3FEND, CAPEC, CVE/CVSS, NIST, CIS Benchmarks and Microsoft Security Benchmark.
 * Security: Knows how modern EDR/XDR suites work, can evaluate efficacy of controls and telemetry coverage. Microsoft Defender stack, Azure services, network-security fundamentals.

Nice-to-Haves - additional skills that make you stand out

 * Hands-on experience with PowerBI, Databricks, and Detection Engineering tools.
 * Quantitative analysis & statistics: Comfortable with statistical methods, confidence intervals and Monte-Carlo & Bayesian approaches.
 * Data tooling: Python (data/ML stack), SQL and KQL. Able to wrangle large and dynamic data sets.
 * Conceptual languages: ArchiMate.

Are you ready to lead, innovate, and make a measurable impact on cybersecurity at ABN AMRO? Join us and take your career to the next level!

## Description

As a Data-Driven Cyber Security Analyst, you will play a crucial role in enhancing ABN AMRO's cyber resilience. Your key responsibilities include:

 * Innovating Threat Models: Design and refine advanced quantitative threat-modelling algorithms for the Cyber Resilience Index (CRI) to identify and address vulnerabilities.
 * Building Smarter Metrics: Develop and enhance the Security Metrics Framework (SMF) by integrating new data sources and improving data quality.
 * Delivering Actionable Insights: Generate statistical estimates for challenging security metrics, transforming them into clear, data-driven decision-making tools.
 * Driving High-Impact Initiatives: Analyse CRI and SMF outputs continuously to recommend and monitor high-ROI security strategies.
 * Empowering Stakeholders: Lead engaging demos and hands-on workshops, educating teams on the value of evidence-based security solutions.
 * Collaborating for Success: Work closely with the data engineering team to implement your models into production pipelines and ensure quality through code and data model reviews.


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