Data Analyst, Officer人工智能数据分析师

• Who we are looking for

The Financial Data Analyst - Officer will work with other AI agile team members through the phases of use-case data exploration and prototyping to the design, implementation and support deployment of the resulting AI services while focusing on data/financial/business analysis, data cleansing and pre-processing for core model needs, and test of quantitative financial models.

What you will be responsible for

• Responsible for detail analysis of business requirement and produce requirement specification
• Work with business stakeholders and subject matter experts to understand and document existing workflow and challenges and then design optimized business process and technology workflow
• In depth analysis of financial data from front office to back office to ensure data quality and cleanse data as needed
• Design and develop data process, perform feature analysis and write algorithms to transform input feature for core model consumption
• Support production issue pertinent to data and data processing algorithm What we value

These skills will help you succeed in this role

• Proficient data analysis, processing and visualization skills using popular tools (Pandas, Numpy, Scipy, SKLearn, PCA, Excel, Matplotlib, Seaborn, etc.)
• Proficient in financial theories & financial engineering (Equities, Bonds, Derivatives, Asset Pricing, Accounting, Financial Risk Management, etc.)
• Familiar with structured and unstructured data management tools (Oracle, PostgreSQL, MySQL, KDB+, Hadoop, etc.)
• Communication skills. The ability to communicate at the right level with all parties involved, including management and business stakeholders
• Good English reading, speaking and writing skill

Education & Preferred Qualification

• Bachelor degree required (preferably in computer science, mathematical finance, financial engineering, statistics or related field)
• 3+ years of hands on experience in performing business requirement, producing business specification and process/workflow design in financial industry
• 3+ years of solid financial data analysis and traditional machine learning (GBDT, random forest etc.) and/or deep learning experience
• 2+ years of project development experience and proven track of delivering enterprise applications (Python, Java, C++, SQL)
• Result driven, detail oriented, candid attitude, motivated to learn new things

Experience in any of the following is highly desirable:

• Passed Charted Financial Analyst (CFA) level 1 or FRM level 1 examination
• Project management experience

Why this role is important to us
State Street's Automation and Artificial Intelligence is a strategic global team. It is 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, computer vision and cognitive computing at scale for countless use cases across Global Delivery, Global Advisors, Global Markets, and Global Exchange business lines. The team has a mixed of intelligence technology, quantitative modeling, data science, financial engineering, and software engineering capabilities. The team has built solutions for investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, fund innovation as well as operational and client experience related use cases. 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.