Enterprise Risk Developer Jobs

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Today

Data Engineer, Technology Risk

Intercontinental Exchange Holdings, Inc. Atlanta, GA

Atlanta, GA

Today

Full time Analytics Artificial Intelligence Automation Developer

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Job Description

Work on the Enterprise Risk team as a Technology Risk Data Engineer, building automated technology risk registers and analysis to inform senior leadership.

Responsibilities

Design, implement, and maintain structured technology risk registers.
Maintain alignment between technology risk registers and enterprise risk frameworks and regulatory expectations.
Monitor and evaluate emerging technology risks, including AI, cloud, third-party, and 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 to streamline data collection, processing, and visualization, using Python, AI agents, LLMs, SQL, C++, and Shell Scripting.
Define, track, and report key performance indicators (KPIs) and key risk indicators (KRIs).
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 large language models (LLMs), to solve risk-related problems.
Stay current with industry trends and emerging tools to enhance risk analytics capabilities.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
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 with responsibility for infrastructure components for production, POC, and UAT environments.
Proficiency in Python and experience with data automation and analytics.
Ability to write and review code in multiple coding languages.
Familiarity with AI/ML tools and LLMs and how they apply to risk analysis.
Proven experience setting up cloud platform infrastructure using AWS, Azure, or GCP.
Experience with data visualization tools, including Power BI and/or Tableau.
Experience with GitHub automated code deployments.
Experience with CI/CD pipelines to automate workflows that build, test, and deliver software updates.
Excellent interpersonal and communication skills with ability to work cross-functionally.
Strong analytical and problem-solving abilities.
Master’s degree in Data Analytics is a plus.

Technologies

Python
AI agents
LLMs
SQL
C++
Shell Scripting
Power BI
Tableau
GitHub
CI/CD pipeline
AWS
Azure
GCP
AI/ML tools

Preferred knowledge and experience

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

Location: Atlanta, GA (onsite)

Minimum experience: 2 years

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