Responsibilities:Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insightsApplies agile practices for project management, solution development, deployment, and maintenanceCreates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in productionManages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environmentDelivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverablesMitigates risk by identifying potential issues and developing controlsResearches the latest advances in the fields of data science and artificial intelligence to support business analyticsGlobal Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across the bank. Required Technical Skills:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.1+ years of related work experience Good, applied statistics skills, such as distributions, statistical testing, feature engineeringUnderstanding and applied knowledge of Artificial Intelligence and machine learning modelling techniquesExcellent understanding of how Artificial Intelligence is used and governed a large regulated US financial institutionsTechnical writing skillsDesired Skills:Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.