Common Securitization Solutions

Risk

• Perform Artificial Intelligence, Machine Learning, Generative AI and Data Related Risk assessments, support the implementation of effective risk management practices to mitigate and/or remediate risk, and provide guidance to technology, operations, information security and other business partners/teams.
• Provide effective review and challenge to help identify existing and emerging risks, and subsequent risk mitigation strategies, to ensure compliance with the organization’s policies, programs, standards, and related regulatory requirements.
• Execute completion of comprehensive risk assessments, documentation, risk mitigation guidance, and related reporting for key enterprise initiatives across various technologies, platforms/environments (Cloud, AI, etc.).
• Monitor and report on AI, GenAi and Data management related key and emerging risks impacting the enterprise, from a second line risk management perspective.
• Support and oversee AI, GenAI and Data Technology, Operations, Data Governance functions and related environments.
• Provide Second Line Risk guidance, assessment, and oversight of U.S. FinTech’s information security solutions.
• Partner with key business stakeholders to identify and assess risks and controls across AI/ML, Business Resiliency, Information Security, and Technology.
• Develop and improve Risk and Control Matrix (RCM) pursuing U.S. FinTech business objectives, regulatory requirements, NIST, SOC, COBIT and other frameworks.
• Support quarterly Risk and Control Self-Assessments (RCSAs) and provide guidance related to remediation of inadequate controls through influence.
• Conduct Assurance reviews of technology/information security and business resiliency related issues, prior to closure; and review/effective challenge to First-Line Management Control tests.
• Identify tech, information security/management and/or business resiliency risk and control considerations for new business initiatives and/or existing process enhancements.
• Work directly with front-line management to prioritize remediation and other activities related to effective and timely tech, information security, and business resiliency risk management.
• Work directly with Internal Audit, Compliance, and Regulatory agencies to foster open communication and transparency.
• Work with the business to develop plans to mitigate Ai, GenAI, Data technology, risks, and program performance issues.
• Perform gap and data analysis to address program gaps or deficiencies related to AI, GenAI, Data based on industry standards/best practices, and related regulatory requirements as necessary.

Senior Risk Associate – IT and AI/ML

AI Engineer

• The Data/AI Engineer will be responsible for solution engineering of enterprise scale data management best practices.
• This includes patterns such as modern data integration frameworks and building of scalable distributed systems using emerging cloud-based data design patterns.
• Develop data integration tasks in the data and analytics space.
• This position will report to the Director of Data Management under Data & AI organization.
• Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Snowflake, Databricks or Redshift.
• Build data integration solutions between transaction systems and analytics platforms.
• Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs.
• Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting.
• Fundamental understanding of building of data products by data enrichment and ML.
• Act as a team player and share knowledge with the existing team members.

Senior Risk Associate – IT and AI/ML

Senior Data/AI Engineer