Project Manager & Business Analyst-1

Project Manager & Business Analyst-1

Currenex State Street Trust Company
3-6 years
Not Specified

Job Description



.Job Description
Who we are looking for
The Project Manager & Financial/Business/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 project management and 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 all aspects of project management and manage user expectation to ensure timely delivery of solid result
.Work with key business stakeholders and subject matter experts on assigned projects to perform thorough business requirement analysis and produce detailed specification and workflow design
.Produce artifacts required by various corporate policies such as SDLC, security, and data governance
.Implement Agile methodology all around and go above and beyond as needed to ensure high performing execution of project and ensure full utilization of resource capacity
.Manage business requests and issue, and execute tactical enhancement by coordinating software engineers and QA resources in multiple countries
.In depth analysis of financial data from front office to back office to ensure data quality and cleanse data as needed
.Test the developed features based on the requirements/specifications
What we value
These qualifications & skills will help you succeed in this role
.Bachelor degree required (preferably in computer science, mathematical finance, financial engineering, statistics or related fields)
.3+ years of extensive project management of software development projects with demanding stakeholders and challenging team members
.3+ years of hands on experience in performing business requirement, producing business specification and process/workflow design in financial industry
.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
.Result driven, detail oriented, candid attitude, motivated to learn new things
.Good English reading, speaking and writing skill
Experience in any of the following is highly desirable:
.Proficient data analysis, processing and visualization skills using popular tools (Pandas, Numpy, Scipy, SKLearn, PCA, Excel, Matplotlib, Seaborn, etc.)
.Financial data analysis and traditional machine learning (GBDT, random forest etc.) and/or deep learning experience
.project development experience and proven track of delivering enterprise applications (Python, Java, C++, SQL)
.Passed Charted Financial Analyst (CFA) level 1 or FRM level 1 examination
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.

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