Tech Risk and Control [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

9d•Onsite

About The Position

Duties: Develop and implement comprehensive risk assessment frameworks for product/platform strategies and investment programs. Align risk management practices with organizational goals and objectives. Monitor risks associated with artificial intelligence (AI), machine learning (ML), and public cloud services. Manage and mentor an AI/ML Risk and controls team, fostering innovation and professional development. Ensure compliance with security best practices and regulatory standards. Develop and implement risk and control frameworks for AI/ML emerging technologies. Establish global cybersecurity partnerships, driving strategic collaboration on risk mitigation. Drive AI governance and data governance practices. Assess and define risks for Al-ML technology products. Implement risk mitigation strategies for Al-ML initiatives. Conduct and oversee technology risk and control assessments across various technology products and emerging risks. Develop and implement remediation plans to address identified risks. Leverage AI for advanced risk and control assessments. Develop and deploy AI models for risk assessment. Apply industry standards and best practices in risk management. Ensure compliance with various country cybersecurity regulations. Collaborate with cross-functional teams and senior stakeholders to establish control standards and procedures. Plan, facilitate, and execute risk and control delivery, including audits and exams. Drive complex projects and ensure they are completed timely and within-budget. Develop and present CIO-level risk management assessments and executive reports on AI/ML security and resilience. Build and enhance oversight capabilities for technology risk and controls. Develop advanced oversight frameworks and processes. Define, measure, and report on KRIs and KPIs. Monitor and improve key performance and risk indicators.

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field of study plus 7 years of experience in the job offered or as Tech Risk and Control, Information Security Management, Controls Manager, Software Engineer, IT Team Lead, Systems Engineer, or related occupation.
7 years of experience with performing risk assessments for product and platform strategies and investment programs
7 years of experience with planning, facilitating, and executing risk and control delivery, including audits and exams
7 years of experience with providing risk management updates and reports to senior leaders
7 years of experience with building and enhancing oversight capabilities relating to Technology Risk and Controls
7 years of experience with developing and monitoring KRIs and KPIs
5 years of experience with leading and managing teams
3 years of experience with monitoring risks in public cloud services including AWS and Azure
2 years of experience with implementing and driving AI/ML, MLOps, AI governance, cloud technologies, and data governance practices
2 years of experience with assessing and defining risks for AI/ML technology products
2 years of experience with developing and driving AI-driven risk and control assessments

Nice To Haves

developing and implementing comprehensive risk assessment frameworks
cloud security best practices and compliance standards including AWS Security Services
AI/ML tools including Python, Supervised Learning, Unsupervised Learning, Deep Learning for model development, Generative Al, Large Language Models, and Prompt Engineering
MLOps tools such as TensorFlow, and PyTorch
model monitoring using tools such as AWS SageMaker Model Monitor
conducting comprehensive risk assessments and implementing remediation plans
leveraging AI for advanced risk and control assessments utilizing Generative AI, Large Language Models, and ML model development using Python leveraging Sci-Kit learn and PyTorch
ISO and NIST EU Al Act
risk assessment tools including Aqua Security and Splunk
NIST
ISO 27001
COBIT
Conducting reporting, data analytics, and visualization using Tableau

Responsibilities

Develop and implement comprehensive risk assessment frameworks for product/platform strategies and investment programs.
Align risk management practices with organizational goals and objectives.
Monitor risks associated with artificial intelligence (AI), machine learning (ML), and public cloud services.
Manage and mentor an AI/ML Risk and controls team, fostering innovation and professional development.
Ensure compliance with security best practices and regulatory standards.
Develop and implement risk and control frameworks for AI/ML emerging technologies.
Establish global cybersecurity partnerships, driving strategic collaboration on risk mitigation.
Drive AI governance and data governance practices.
Assess and define risks for Al-ML technology products.
Implement risk mitigation strategies for Al-ML initiatives.
Conduct and oversee technology risk and control assessments across various technology products and emerging risks.
Develop and implement remediation plans to address identified risks.
Leverage AI for advanced risk and control assessments.
Develop and deploy AI models for risk assessment.
Apply industry standards and best practices in risk management.
Ensure compliance with various country cybersecurity regulations.
Collaborate with cross-functional teams and senior stakeholders to establish control standards and procedures.
Plan, facilitate, and execute risk and control delivery, including audits and exams.
Drive complex projects and ensure they are completed timely and within-budget.
Develop and present CIO-level risk management assessments and executive reports on AI/ML security and resilience.
Build and enhance oversight capabilities for technology risk and controls.
Develop advanced oversight frameworks and processes.
Define, measure, and report on KRIs and KPIs.
Monitor and improve key performance and risk indicators.