
Principal Data Scientist -AVP
- 浙江省杭州市
- 长期
- 全职
- Lead a small agile team to deliver highly effective GenAI 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 GenAI best practices.
- Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity.
- Become subject matter expert in GenAI/LLM model evaluation, benchmarking, solution design, development, and validation, as well as agentic AI architecture and implementation.
- Integrate, customize, and train known LLMs and agentic frameworks to solve financial problem, perform validation, and fix bugs.
- Drive model rationalization, reusability, scalability and implement modern MLOps and model observability.
- Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement 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.
- Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
- 1+ years of experience with GenAI solution, hardcore development experience with known LLMs (OpenAI ChatGPT, Llama, Mistral, Claude, or DeepSeek), Agentic AI technologies like MCP, prior experience with RAG, Text2SQL, fine tuning, distillation, and responsible AI framework integration.
- 8+ years of hands-on coding experience with foundational AI/ML algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing algorithms like underlying transformer and attention mechanisms.
- 8+ 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.
- GenAI/LLMs, Data Science and Machine Learning Frameworks (Anthropic, MCP, Agentic AI, RAG, Text2SQL, Vectorized DB, Agentic Flow management frameworks like LangGraph, AutoGen, CrewAI, LangChain, LlmaIndex).
- Prior data scientist role in financial institution and 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.).
- Passed Charted Financial Analyst (CFA) level II or equivalent.