Agentic Engineering Principal, VP

The State Street Global Advisors (SSGA) - Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Senior Principal Data Scientist, Vice President at Hangzhou office. This role will play a key role in leading the solution delivery of AI technology services provided to the Global Advisors business at State Street. The role will be a key player in the DAAIS for AI services supporting the COO’s organizational delivery of the technology platforms in a federated model to Global Advisors, State Street, and our clients. The role will function as the AI specialist and solution lead for AI related services working closely with the State Street affiliates, Global Technology Services (GTS) and other third-party vendors used within the SSGA ecosystem globally. The role and the team will provide AI architectural solution to the DAAIS delivery of technology platforms and services according to the GTS architectural standards and operate under a federated operating model to deliver against a target end state AI ecosystem blueprint. In addition, the role needs to adopt GTS AI related technology, risk, security, and data governance standards.

This is a senior principal data scientist role for candidate who has very strong hands-on AI solution design and development experience, as well as strong team management skills and leadership. The candidate should have rich experience for AI application development. The candidate has 10+ years of experience in asset management. This is someone who also has demonstrable leadership in developing service-oriented model solution, has delivered enterprise platform and/or commercialized AI product. The candidate has excellent technical and problem-solving skills, someone with creativity and self-motivation to deliver on mission critical projects with tight timelines and competing priorities.

Responsibilities:

· Lead a small agile team to deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and AI best practices.

· Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity by 30%.

· Develop, train, and manage multiple data scientists, ensure their continuous growth and development, and foster a high-performance team culture.

• Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.

• Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial problem, perform validation, and fix bugs.

• Drive model rationalization, reusability, scalability, and implement modern MLOps.

• Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement required changes for go-live.

• Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.

• Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

• Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.

• 12+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing and computer vision algorithms.

• 12+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.

• Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.

• Familiar with major financial instrument, reference data, market data, investment and risk management concept.

• Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.

• Result driven, detail oriented, candid attitude.

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Any of the following is highly desirable:

• Prior data scientist role in financial institution or model validation experience.

• Prior risk and investment management experience in asset management industry.

• Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).

• Charted Financial Analyst (CFA) or equivalent.

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