Data Engineer, Technology Risk

Intercontinental Exchange Holdings, Inc.•Atlanta, KS

21h

About The Position

We are seeking a highly skilled and motivated Technology Risk Data Engineer to join the Enterprise Risk team. The role develops and maintains technology risk registers, assesses emerging technology risks, and designs automated solutions to support risk analysis and reporting in a financial market data environment. It requires a strong technical background, an understanding of technology risks and controls, and effective collaboration across internal teams. The position builds infrastructure, scripts, tools, dashboards, and visualizations to automate risk data collection, processing, analysis, and reporting. It also communicates risk insights to senior leadership and translates complex technical risk concepts into actionable business insights. The role uses modern technologies, including Python, AI agents, and large language models, and stays current with industry trends and tools to improve risk analytics capabilities.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
At least 2 years of experience in technology risk, data engineering, IT audits, DA audits, or related roles.
Strong understanding of technology risk domains, such as cybersecurity, cloud, and data privacy.
Experience with DevOps, including responsibility for infrastructure components in production, POC, and UAT environments.
Proficiency in Python and experience with data automation and analytics.
Ability to write and review code in multiple programming languages.
Familiarity with AI/ML tools and LLMs and their application in risk analysis.
Proven experience setting up infrastructure on a cloud platform such as AWS, Azure, or GCP.
Experience with data visualization tools such as Power BI or Tableau.
Experience with GitHub automated code deployments.
Experience with CI/CD pipelines for automating workflows that build, test, and deliver software updates.
Excellent interpersonal and communication skills, including the ability to work cross-functionally.
Strong analytical and problem-solving abilities.

Nice To Haves

Master’s degree in Data Analytics.
Experience in financial services or market data environments.
Knowledge of regulatory frameworks such as NIST, ISO 27001, or FFIEC.
Experience with risk management platforms or GRC tools.
Experience in risk-related fields such as Audit and Risk Management.

Responsibilities

Design, implement, and maintain structured technology risk registers.
Ensure alignment with enterprise risk frameworks and regulatory expectations.
Monitor and evaluate emerging technology risks, including AI, cloud, third-party, and cybersecurity risks.
Collaborate with stakeholders to assess risk impacts and mitigation strategies.
Build and maintain infrastructure supporting automated risk analysis and reporting.
Develop scripts and tools, including Python, AI agents, LLMs, SQL, C++, and 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.
Use modern technologies, including Python, AI agents, and LLMs, to solve risk-related problems.
Stay current with industry trends and emerging tools to enhance risk analytics capabilities.