Data Analytics Engineer

The hiring client is confidential. The Data Analytics Engineer will develop and maintain a Security Review Risk Framework analytics engine, building Python-based models, statistical analyses, and automation workflows to support security and risk management.

Responsibilities:

• Develop and maintain the Security Review Risk Framework analytics engine, ensuring reliability and performance in production environments
• Build Python-based analytical models, statistical analyses, and automation workflows that translate business and security requirements into technical solutions
• Create production-ready code with appropriate testing, validation, quality controls, and technical documentation
• Partner with security and risk stakeholders to define key metrics, reporting structures, and actionable risk insights
• Conduct statistical analysis and risk assessment to identify trends, anomalies, and security patterns within analytical datasets
• Produce clear technical documentation, analysis specifications, and architecture summaries for cross-functional teams
• Collaborate with stakeholders to gather requirements and deliver analytical solutions that meet both technical and business objectives

Requirements:

• 8-10 years of professional experience in data analytics, engineering, or related analytical roles
• Expert proficiency in Python for building scalable analytical applications and automation workflows
• Strong statistical analysis and quantitative modeling skills with demonstrated ability to translate data into insights
• Experience with risk assessment frameworks, methodologies, or tools in a financial or security context
• Ability to write production-grade code with comprehensive testing, validation, and quality assurance practices
• Proficiency in technical documentation and communicating complex analytical concepts to non-technical stakeholders
• Experience partnering with security, risk, or compliance teams on analytical initiatives and metric definition