Senior AI Software Engineer, Officer

State Street’s Automation and Artificial Intelligence is a strategic global team. It is recently formed under direction of management committee of the company. It has the mission to harness the power of artificial intelligence and big data to enhance alpha generation, enable efficient delivery of products, improve user experience and reduce cost of operation in financial domain. The team has a mixed of artificial intelligence/data science, financial engineering/quantitative modeling, natural language processing, computer vision, and high performance computing software engineering capabilities. The team started with solving operational and client experience related use cases and is advancing into investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, and fund innovation. This team also directly engages 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 Artificial Intelligence 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 3+ years of working experience in related field.
• Solid background in computer science including data structure, algorithm and operating system.
• Rich hands-on software engineering experience for enterprise level systems and proven track of delivering enterprise applications.
• 2+ years of modern, object-oriented or script programming experience like Python, C++, Java, Shell and etc.
• 1+ years of experience in micro service architecture and implementation based on main-stream technologies such as Spring Cloud, gRPC/thrift, Kubernetes, Docker and etc.
• Familiar with distributed technologies including caching, message queue and NIO.
• 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.
• Familiar with web frontend technologies (HTML, CSS, JavaScript, React) is a plus.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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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.)
• Model inference optimization.