Cognitive Software Engineer, Officer

State Street’s Cognitive Computing is a strategic global team. It is newly 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, image recognition and cognitive computing at scale for countless use cases across Global Services, Global Advisors, Global Markets, and Global Exchange business lines. The team is envisioned to have a mixed of intelligence technology, quantitative modeling, data science, financial engineering, and software engineering capabilities. The team started with solving operational and client experience related use cases and is expected to advance into investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, fund innovation and so on. 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 officer of Cognitive Software Engineering will participate in cognitive software design and drive implementation and troubleshooting including but not limited to understand business requirement, write program, troubleshoot issue, and support data scientist/Quantitative Modeler.  

Responsibilities: 

• Build enterprise-level artificial intelligence infrastructure including high performance computing, service mesh and etc. 

• Work with data scientists to provide end to end solution based on AI and big data technologies to solve real-world problems for both internal and external customers. 

• Responsible for software design, development and production support from ideation to production. 

Qualifications: 

• Master degree required in computer science or 6+ years of working experience in related field.  

• Solid background in computer science including data structure, algorithm and operating system. 

• Minimum three years of solid hands-on experience applying machine learning techniques to build models integrated into applications.  

• Rich development experience with cloud platforms such as Microsoft Azure, AWS. Linux stack and Docker.  

• Have an in-depth and expert knowledge of database design, ETL and data warehousing. 

• Rich data engineering experience based on big data platforms such as Databricks and Snowflake. 

• 6+ years of modern, object-oriented or script programming experience like Python, C++, Java, Shell and etc.  

• 3+ years of experience in microservice architecture and implementation based on main-stream technologies such as SpringBoot, gRPC/thrift, Kubernetes, Docker and etc. 

• Familiar with structured and unstructured data storage and management systems like Hadoop, MongoDB, PostgreSQL, Oracle. 

• Comfortable with GitHub, continuous integration and deployment tools and agile methodology.  

• Highly self-motivated with can-do attitude and willing to learn new things. 

Experience in any of the following is highly desirable: 

• Software engineering experience in medium or large size asset management company 

• Data Science and Machine Learning Frameworks (TensorFlow, PyTorch, Apache Spark / MLlib, etc.) 

• Experience with MPC and federated machine learning would be a plus. 

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