Centralized Modeling, Analytics and Operations:

Risk Business Product Architect / 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, 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.

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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