Job DescriptionAs an AI Control Manager - Senior Associate within Client Onboarding & Documentation (CO&D;), you will apply your AI/ML technical expertise to assess, monitor, and strengthen controls for AI use cases across our organization.
This is a unique opportunity to build a career in AI risk management and governance, one of the fastest-growing fields in technology.
You will leverage your programming skills and understanding of AI/ML systems to conduct technical risk assessments, evaluate AI models, and identify potential control gaps.
You'll translate complex AI technical concepts into actionable risk insights for business stakeholders.
Beyond AI, you will also lead control review initiatives using advanced analytics and data-based testing to enhance the broader control environment, conducting proactive process review and performing root cause analysis.
You'll support the end-to-end CO&D; organization across WKO (Wholesale KYC Operations) and DDS (Digital Documentation Services), helping to establish best practices for AI governance.Job Responsibilities:Conduct technical AI risk assessments for AI/ML use cases, evaluating model design, data quality, algorithmic bias, and potential failure modesPartner with cross-functional teams to develop and implement AI governance frameworks, policies, and control standardsPerform deep-dive technical reviews of AI solutions to identify risks related to accuracy, fairness, explainability,



and securityTranslate complex AI/ML technical concepts into clear risk assessments and recommendations for non-technical stakeholdersCollaborate with AI developers, data scientists, and technology teams to understand AI system architecture and identify control requirementsLead control reviews leveraging advanced analytics, and data-based testing to enhance the control environment and drive efficiency across CO&D; operationsConduct proactive reviews using Alteryx, Python, and analytics tools to identify and address emerging risks in CO&DPerform; root cause analysis and partner with stakeholders to implement corrective actions, synthesizing complex information into clear, concise reports for managementSupport root cause analysis when AI-related issues arise and recommend technical remediation approachesStay current on emerging AI risks, regulatory developments, and industry best practices in AI governanceConduct proactive process reviews to identify and address emerging risks.Perform root cause analysis and partner with stakeholders to implement corrective actions.Leverage Alteryx, Python, and GenAI/LLM to automate processes and improve risk management.Required Qualifications, Capabilities and Skills:Minimum of 5 years of experience working with AI/ML technologies, data science,



or related technical fieldsBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical fieldStrong proficiency in Python for data analysis and automation Solid understanding of machine learning concepts, algorithms, and model development lifecycleAbility to evaluate AI/ML models and identify technical risks (., bias, overfitting, data quality issues, model drift)Experience working with or evaluating AI systems, including understanding of how models are trained, validated, and deployedStrong analytical and problem-solving skills with attention to detailExcellent communication skills with the ability to explain technical AI concepts to non-technical audiencesIntellectual curiosity about AI governance, responsible AI, and risk managementAbility to adapt quickly in a fast-paced environment and learn new domainsStrong organizational skills and ability to manage multiple prioritiesPreferred Qualifications, Capabilities and Skills:Experience with GenAI, large language models (LLMs), or agentic AI systemsPrior exposure to risk management, controls, compliance, or audit functionsKnowledge of financial services, AML/KYC processes, or regulatory environmentsExperience with Alteryx or other analytics automation toolsFamiliarity with AI governance frameworks, model risk management, or responsible AI principlesExperience with model validation, model monitoring, or AI quality assuranceMaster's degree in a technical fieldUnderstanding of API integration and data pipeline development

📌 Ai Control Management - Senior Associate (Buenos Aires)
🏢 JPMorgan Chase
📍 Buenos Aires