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, programming, problem-solving, and communication skills. The primary focus for the position will be to work for State Street’s

Risk BAU Reporting & Analytics Function to provide data modeling, reporting engineering, and business process solutions for ERM.

Job Description

The Risk BAU Reporting & Analytics Function Product Architect / Developer, Assistant Vice President position is based in Hangzhou China location. As a member of the CMAO Team, this individual must have in-depth knowledge and experience of risk management measures/methodologies with solid data science and programming skills, possessing excellent verbal and written communication skills for interactions within CMAO and with various internal stakeholders.

Primary Responsibilities

• Take ownership and responsibilities to lead the risk data consumption layer engineering and governance
• Lead to design and implement consumption layer Risk governance structure.
• Collaborate with other stakeholders including IT to enhance existing analytical processes/products, and to develop and implement new processes/products.
• Support Risk BAU Reporting & Analytics functional operation and new initiative projects.
• Responsible for project architect, implementation, testing, issue, remediation, progressive status tracking and management.
• Support production problem-solving pertinent to Risk BAU Reporting operation.
• Design and build business process products.

Qualifications

• Bachelor’s Degree required; master’s degree preferred (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.
• 7+ 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.

Experience in any of the following is highly desirable

• 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.).
• Advanced knowledge and working experience on business process management design and tool (PEGA, Appian, & etc.) and BI tool (Qlik Sense, Tableau, Power BI) is preferred.
• Proficiency in JIRA, Confluence is a plus.