Senior Principal Data Scientist - VP

Job description

About the job

State Street Investment Management - Global Head of Data, Analytics & AI Services (GHDAAS) is seeking a Senior Principal Data Scientist, Vice President in the Hangzhou office. This role will play an important part in the delivery of AI technology services for the Global Advisors business at State Street.

Tasks

• Leading a small agile team to deliver highly effective AI solutions to meet rapidly changing business and customer requirements
• Collaborate with cross-functional teams to execute global projects and continuously improve the modeling solution and AI/ML practices
• Apply various modern AI tools to design and develop AI solutions and optimize the AI development approach and increase productivity by 20%
• Developing, training and maintaining large data sets of scientists, ensuring their continued growth and development and fostering a high-performing team
• Expert in modern AI tools, basic AI model design, development and validation by transforming financial data models into mathematical and computational science designs and implementations
• Design, implementation and training of knowledge graphs and algorithms in open source libraries to solve financial problems such as portfolio optimization and risk management
• Driving model rationalization, usability, scalability and implementation of modern MLOps
• Writing model specifications on problem definition, assumptions, data input, methodology, implementation framework and test results
• Support in IT integration, UAT and delivery of AI microservices, operationalization and production of results that meet models and AI solutions
• Support with production problems related to models and algorithms

Requirements

• Master's degree in Computer Science, Financial Mathematics or Financial Engineering required; Ph.D. preferred
• 10+ years of hands-on coding experience with basic AI algorithms and familiar with deep learning neural networks
• 10+ years of experience in modeling, object-oriented or functional programming and design (Python, Java) and familiar with R or a similar coding language such as Julia/C++/C++/Cuda/Cantor
• Familiarity with public cloud development environments and native products such as Azure ML, Azure Functions, Snowflake, Databricks Machine Learning or AWS Bedrock/Sagemaker
• Familiarity with major financial instruments, reference data, market data, investments and risk management
• Fluent in English and Mandarin; excellent written and verbal communication skills at stakeholder level

Further requirements

• Previous experience as a data scientist in a financial institution or experience in model validation
• Familiarity with risk and investment management in the asset management industry
• Experience with structured and unstructured data management tools (Snowflake, Databricks, Pineal, Postgresql, Hadoop, etc.)
• Chartered Financial Analyst (CFA) or equivalent

We offer

• A comprehensive and competitive benefits package
• Flexible work programs
• A variety of development programs and educational support