Data Engineer, Technology Risk

• Design, implement, and maintain structured technology risk registers.
• Ensure alignment with enterprise risk frameworks and regulatory expectations.
• Monitor and evaluate emerging technology risks (e.g., AI, cloud, third-party, cybersecurity).
• Collaborate with stakeholders to assess impact and mitigation strategies.
• Build and maintain infrastructure to support automated risk analysis and reporting.
• Develop scripts and tools (e.g., Python, AI agents, LLMs, SQL, C++, Shell Scripting) to streamline data collection, processing, and visualization.
• Define, track, and report key performance and risk indicators.
• Create dashboards and visualizations to communicate risk insights to senior leadership.
• Partner with internal clients across technology, operations, and compliance teams.
• Translate complex technical risk concepts into actionable business insights.
• Leverage modern technologies including Python, AI agents, and large language models (LLMs) to solve risk-related problems.
• Stay current with industry trends and emerging tools to enhance risk analytics capabilities.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Mater’s Degree in Data Analytics a plus
• 2+ years of experience in technology risk, data engineering, IT Audits, DA Audits or related roles.
• Strong understanding of technology risk domains (e.g., cybersecurity, cloud, data privacy).
• Experience in DevOps being responsible for the infrastructure components production, POC, and UAT environments
• Proficiency in Python and experience with data automation and analytics.
• Ability to write, and review code in a multiple coding languages
• Familiarity with AI/ML tools, LLMs, and their application in risk analysis.
• Proven experience with cloud platform (AWS, Azure, GCP) infrastructure set up
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Experience with GitHub automated code deployments
• Experience with the CI/CD pipeline for automating workflow that builds, tests, and delivers software updates.
• Excellent interpersonal and communication skills; ability to work cross-functionally.
• Strong analytical and problem-solving abilities.

Preferred Knowledge and Experience

• Experience in financial services or market data environments.
• Knowledge of regulatory frameworks (e.g., NIST, ISO 27001, FFIEC).
• Experience with risk management platforms or GRC tools.
• Experience in risk related fields such as Audit and Risk Management a plus