Senior Principal, Data Scientist (Data Management & Quant Analytics)
BNY MellonBostonUpdate time: August 19,2021
Job Description
For over 235 years, Bank of New York Mellon (BNY Mellon) has been at the center of the global financial markets, providing the world’s leading institutions the tools, capabilities, and services to be distinctive investors. BNY Mellon has approximately $16.5 billion in revenues and a 23% return on tangible common equity. BNY Mellon is a leader in the world of investment services and investment management, and our businesses support the full range of stakeholders of the financial system including: Managing the custody of approximately $37 trillion financial assets of the world’s leading institutional investors, hedge funds, sovereign wealth funds, and corporates Investing approximately $2 trillion as one of the largest global asset managers across a wide range of asset classes Providing collateral, liquidity, and funding for the world’s largest banks through our markets franchise Serving family offices and high net worth individuals through our wealth management franchise Providing a full suite of solutions to advisors, broker-dealers, family offices, hedge and '40 Act fund managers, registered investment advisor firms and wealth managers Advising large global corporations on a range of trust and other solutions Providing integrated managed data services to asset managers BUSINESS OVERVIEW: Exciting opportunity to join our team as a Data Scientist. We are a trading organization providing execution and other trading services to internal asset management clients, with more than $650B in AUM. Our traders work closely with the investment teams, support, quant research and engineering as we continue to evolve our trading processes, develop our industry-leading trading technology and apply rigorous quantitative and market structure research to ensure efficient implementation of investment decisions across a wide range of products. Get involved early, as we continue to design and build a state-of-the-art platform, to empower extensive research and real-time analytics, in support of a global, multi-asset trading organization. Join a fast-paced, ambitious, yet cerebral and collegial culture of a start-up effort, while enjoying the benefits of an established, stable asset management firm and one of the world’s greatest financial services companies. JOB DESCRIPTION: Play a significant role in design, research, development and deployment of: Suite of contextual trading analytics Proprietary trading research library Multi-asset class market Impact models Real-time decision support tools Provide domain expertise in solving research-intensive portfolio implementation challenges Present research findings to internal and external clients and constituents Develop and maintain expert-level understanding of market micro structure globally and across asset classes Embrace and promote API-driven solutions, utilizing open source resources and cloud-based architecture Develop research quant libraries Collaborate with internal teams and vendors to implement research in the production environment PREFERRED QUALIFICATIONS: Degree in computer science, statistics or similar – PhD highly preferred 3+ years’ experience in research and data science roles Solid coding skills in Python, R, C++ or Java Keen understanding of REST, gRPC and other API-related frameworks, concepts and tools Exposure to and comfort with high performance, low latency computing systems Experience with real-time systems Proficiency with AWS, Azure or other cloud-based environments Handling real-time market data feeds across asset classes and regions Deep knowledge of time series database technologies Experience in PostgreSQL, Redis and other DB solutions Expertise in ML and optimization technologies Deep understanding of financial engineering and mathematical finance concepts Collegial and collaborative disposition – team player! Great presentation skills – be able to present research findings to a wide range of audiences Qualifications Bachelor's degree or the equivalent combination of education and experience. Advanced degree in quantitative analysis preferred. 12+ years total work experience preferred. Experience in quantitative finance and technology preferred. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans. Our ambition is to build the best global team – one that is representative and inclusive of the diverse talent, clients and communities we work with and serve – and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums. Primary Location: United States-Massachusetts-Boston Internal Jobcode: 70694 Job: Asset Servicing Organization: Markets And Execution Svcs-HR18671 Requisition Number: 2109255
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