State Street’s Artificial Intelligence and Financial Engineering Team is a strategic global team. It is formed under direction of management committee of the company. It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for countless use cases across Alpha, Global Delivery, Global Advisors, Global Markets, and ERM business lines. The team has a mixed of intelligence technology, quantitative modeling, data science, financial engineering, and software engineering capabilities. The team has built solutions for investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, fund innovation as well as operational and client experience related use cases. This team will engage the business to explore, prototype, and solution use cases while also building out a portfolio of foundational micro services in the State Street’s hybrid cloud.

The AI Senior Data Scientist Officer will work with other AI agile team members through the phases of use-case data exploration and prototyping to the design, implementation and support deployment of the resulting AI services while focusing on scientific implementation and validation of quantitative financial models.

Responsibilities:

· Responsible for delivery of assigned NLP/NLU related project and/or product with occasional assignment of other type of models

· Become subject matter expert in natural language processing, natural language comprehension and mentor/coach junior resources

· Integrate, customize, and train well known model and algorithm in open source libraries to solve financial market problem and perform validation and bug fixes

· 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

· Support NLP related modeling architecture, technology elevation, design and implementation.

Qualifications:

· Master degree required (preferably in computer science, mathematical finance, and financial engineering)

· 3+ years of solid modern, object-oriented or functional programming and design experience (Python, C++, TensorFlow, and PyTorch)

· 3+ years of experience strong skills in development of technologies in some of the following areas: Large Language Models, Large Multimodal Models or other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies, prompt engineering, agent and tools usage, reinforcement learning, etc

· Familiar with traditional machine learning (GBDT, random forest etc.) and deep learning neural network (CNN, RNN, LSTM etc.)

· Strong analytical and problem-solving skills

· Strong computer science and coding skills

· Work and collaborate well with team members

Experience in any of the following is highly desirable:

· Candidates with top conference papers or influential open-source projects

· Linux / Bash scripting, structured and unstructured data management tools (Snowflake, PostgreSQL, Hadoop, etc.)

· Continuous integration & development environments and tools (Azure, AWS, GIT, Maven, Jenkins, etc.)

· Ability to communicate at the right level with all parties involved, including management and business stakeholders

· Passed Charted Financial Analyst (CFA) level 1 examinatio