Senior Data Scientist (Assistant Vice President)

Join our global Data Science team as a Senior Data Scientist (Assistant Vice President) and support AI-driven transaction monitoring and analytics for Wealth Management. You will work closely with U.S.-based product users and stakeholders to understand customer needs and enhance analytical products. Your responsibilities will include translating business problems into practical machine learning and AI solutions, leading the end-to-end implementation of use cases, and analyzing complex business data to generate actionable insights.

- Serve as a key Data Science partner to U.S. product users and business stakeholders, proactively understanding customer needs, how analytical products are used, and opportunities for product enhancements. - Lead the end-to-end implementation of machine learning and AI use cases, from requirements gathering and data identification through model development, testing, validation, deployment, and go-live. - Develop, improve, and support machine learning solutions for AI-driven transaction monitoring and Wealth Management analytics, while evaluating practical generative AI opportunities.

- 3+ years of experience translating business requirements and customer needs into technical requirements and practical Data Science, machine learning, or AI solutions - 5+ years of experience in applied Data Science, machine learning, or advanced analytics, including hands-on development using Python and SQL with complex datasets - Experience partnering directly with product users and business stakeholders to understand customer needs, evaluate product enhancement opportunities, and communicate technical concepts and analytical findings to nontechnical audiences - Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent relevant experience - 3+ years of experience developing, testing, deploying, or supporting machine learning solutions in a production or enterprise environment, including experience with version control, testing, and deployment practices - Proven ability to leverage AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs - 3+ years of experience developing machine learning models using statistical techniques and relevant Python machine learning libraries or frameworks - 2+ years of experience working with Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS) in support of Data Science, machine learning, or analytical solutions - Experience developing or implementing generative AI (GenAI) or large language model (LLM) solutions for practical business use cases - Experience with model monitoring, data pipelines, MLOps, APIs, or related technologies used to deploy and operationalize machine learning solutions - Experience in Financial Services, Financial Crime, transaction monitoring, Wealth Management, or another regulated environment - A proactive, consultative approach to collaboration, innovation, knowledge sharing, and continuous learning