Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: Partnering with product, quants, traders, and ops; translating requirements into robust data solutions. Play a key role in the design and architecture of trading and market data structures Design and build a historical and real-time data management platform for a global, multi-asset trading organization. Ensure data integrity through proper data quality and validation Support and work alongside a cross-functional engineering team on the latest technologies Drive with an AI first mind-set towards automation and code-refactoring Hands-on programming of well-designed, testable, secure, and efficient code. Independently work with internal and external trading and market data sets and client reference data and manage the full lifecycle of data acquisition, transformation, analysis, and reporting
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Job Type
Full-time
Career Level
Mid Level