Risk Market Data Management Analyst/Product Developer, Assistant Vice President

Overview

Centralized Modeling, Analytics and Operations (CMAO), a team within State Street's Enterprise Risk Management (ERM) department, is looking for an experienced and highly motivated professional with strong data science, problem-solving, and communication skills. The primary focus for the position will be to work for State Street's

Risk Market Data Management Team to provide market data analytics and process solutions for ERM.

Job Description

The Risk Market Data Management Analyst / Product Developer, Assistant Vice President position is based in Hangzhou, China. As a member of the CMAO Team, this individual must have in-depth knowledge and experience of market data, risk management measures/methodologies with solid data science and programming skills, and possess excellent verbal and written communication skills for interactions within CMAO as well as with various internal stakeholders and external market data vendors.

• Take ownership and responsibilities to lead the risk market data process monitoring day-to-day operation and process re-engineering effort.
• Collaborate with other stakeholders including IT to enhance existing analytical processes/products, and to develop and implement new processes/products.
• Support market data operation new initiative projects.
• Responsible for project implementation, issue, remediation, UAT test case creation, progressive status tracking and management.
• Lead in Risk market data governance operational structure setup and management.
• Support production problem-solving pertinent to Risk market data and its monitoring processes.

• Master's degree required (preferably in data science, computer science, mathematical finance, statistics, and financial engineering).
• 3+ years of experience in market risk or trading in capital markets with solid understanding of risk measures/methodologies: Greeks, VAR, Stress Testing and market data structure.
• 5+ years of data analytics and data modeling experience; hands-on experience with object-oriented or functional programming and design experience (Python, Java, SQL, Cloud tools, data visualization). Be able to design and build data analytics process automation tools.
• Strong verbal and written communication and interpersonal skills with the ability to collaborate effectively at all levels, regions internally and externally.
• Proven record to work independently on complex tasks, to manage projects/teams, and to engage key stake holders (internal/external) in a fast-paced environment.
• Execution oriented, result oriented, and multitasking-capable. Be able to manage workload, to prioritize works, and to deliver in time with quality.

• Prior data scientist, data architect role, and machine learning product development experience in financial institution.
• Data solution architect experience in structured and unstructured data management tools (Databricks, Snowflake, AWS, MS Azure, Oracle, MySQL, MongoDB, and/or etc.).
• Knowledge / experience on setting up executable data governance structure and documentation.
• Proficiency in JIRA, Confluence is a plus.