Location: New York,NY, USA
The leading digital payment company that supports online money transfers across the globe is looking for a Business Analyst to join the Global AI Machine Learning and Risk Management team. This team is currently building an enterprise AI risk management platform to meet AI regulatory and internal governance requirements, which includes, AI inventory management, AI Risk Management throughout the lifecycle including initiation, development, validation, deployment, monitoring, change management, retirement. As a Business Analyst, you are responsible for following the evolving regulatory requirements to analyze, write, and translate documentation, as well as collaborating with various SMEs to ensure AI uses are properly recorded and the associated AI risks are adequately assessed and mitigated globally. The System will be delivered in a phased approach including, but not limited to, architecture design, global AI inventory creation and maintenance including existing AI model inventory conversion, AI model governance functions (e. g., model submission, model approval, AI use case assessment and approval including but not limited to data and privacy, security, intellectual property), and tracking and reporting functions. Responsibilities Include: -Conduct thorough gap analysis and propose optimal scalable solution by effectively leveraging existing resources (including available platforms, systems, SMEs) and minimize redundant work -Lead and drive the individual work streams associated with Responsible AI development and use globally, collaborate with cross-functional teams to ensure regulatory and internal AI governance requirements are clearly communicated, aligned, and documented -Ensure System functions including, but not limited to, GUI design, logic flow of the governance requirements such as request submission, review and approval, post launch monitoring, issue escalation and reporting are accurately and properly reflected in the BRD; work with engineering and product teams closely to ensure timely delivery -Test during and post system development to ensure the System functions are integrated well and work as intended, document all tests and outcomes, critical decisions made by stakeholders and rationale -Identify any bugs or potential design/scalability issues identified during development and testing phases communicated timely to all relevant stakeholders and documented, and assist engineers and product managers to resolve timely -Manage the project proactively and play pivotal role in timely delivery We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Experience with Cosmos. ai Master's Degree in related field -4+ years' experience building global enterprise systems or applications -Strong technical writing experience -Understanding of machine learning features, data, and model risk management throughout the lifecycle and regulatory governance requirements. -Knowledge of the latest advancements in the field of regulatory changes, translate, and convert them to actions applicable to company standards -Excellent communication skills and ability to effectively present business goals, gaps, and solutions to both technical and non-technical stakeholders. -Ability to build strong relationships and work proactively to deliver end-to-end results -Bachelor's Degree in Business, Management, Information Systems, or similar.