Sr Cyber Analytics Engineer - Contract

Summary: The role of Sr Cyber Analytics Engineer involves joining a Cybersecurity Analytics function within a global banking organization, focusing on supporting Cyber Security teams through advanced data and analytics. The engineer will engage directly with stakeholders to understand security challenges, identify analytics opportunities, and deliver solutions using large-scale data platforms. Key responsibilities include developing analytics solutions and contributing to machine learning use cases while working with large-scale cybersecurity datasets. The position requires strong technical skills in Python and PySpark, along with experience in regulated enterprise environments.

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.

Key Skills:

• 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.

Salary (Rate): undetermined

City: Sheffield

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other