Caspian One
Sr Cyber Analytics Engineer - Contract
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Enterprise Cyber Analytics Engineer
Role Overview
An opportunity to join a large Cybersecurity Analytics function within a global banking organisation, supporting Cyber Security teams through advanced data and analytics capabilities. This engagement is a customer-facing engineer, working directly with Cyber stakeholders to understand security challenges, identify opportunities for analytics, and deliver solutions using large-scale data platforms.
Key Responsibilities
- Partner with Cyber Security teams to understand requirements and identify analytics opportunities.
- Develop analytics solutions, notebooks, and data-driven use cases using Python, PySpark, and enterprise big-data technologies.
- Work with large-scale cybersecurity datasets sourced from areas including identity and access management, privileged access management, security telemetry, network monitoring, and vulnerability reporting.
- Deliver analytics capabilities that support monitoring, risk management, and wider Cyber Security objectives.
- Translate stakeholder requirements into scalable analytics solutions and actionable outcomes.
- Support delivery of major initiatives across the Cyber Security function.
- Contribute to machine learning use cases where appropriate, leveraging the organisation's extensive cybersecurity data estate.
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Key Requirements
- Strong Python development experience.
- Strong PySpark and/or Apache Spark experience is essential. Experience with Databricks is highly desirable.
- Experience operating within large, regulated enterprise environments building analytics solutions using complex datasets.
- Ability to engage with stakeholders and translate business requirements into technical solutions.
- SOC, Identity & Access Management (IAM) or Privileged Access Management (PAM) analytics experience.
- Machine Learning experience is desirable.
- Financial Services or highly regulated industry experience.
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