Data Engineer

The Bank of New York Mellon
The Bank of New York Mellon

Job Overview

 Job Description – Data Engineer (2008484)Job Description Data Engineer (Job Number:2008484) Description Summary: BNY Mellon Investment Management is one of the world’s leading investment management organizations and one of the top U.S. wealth managers. Our business encompasses BNY Mellon’s affiliated investment management firms, wealth management organization, and global distribution companies.  Our goal is to build and deliver investment and wealth management strategies and solutions to meet our clients’ needs. Drawing on deep expertise, we collaborate with our clients to tailor our best ideas and resources to meet their specific requirements. Through our global network we have developed a significant understanding of local requirements. We pride ourselves on providing dedicated service through our teams. With extensive experience in anticipating and responding to the investment and financial needs of the world’s governments, pension plan sponsors, corporations, foundations, endowments planned giving programs, advisors, intermediaries, individuals and families, and family offices, BNY Mellon Investment Management can help our clients reach their goals. The Role: Reporting to the Head of Investment Management (IM) Data Solutions, the Data Engineer will lead, design and architect solutions to complex data integration, process re-engineering, data science, and automation problems. This is a unique opportunity to join the IM Data Solutions team, a small, multi-disciplinary team that is transforming the way information is created, used and communicated within BNY Mellon IM. The group works directly with BNY Mellon’s IM firms on strategic projects, creating valuable tools and insights for decision makers across portfolio management, sales, marketing, and other key areas of the business. The Data Solutions team capitalizes on opportunities across business lines using the best tools and practices, like machine learning, econometrics, agile development (scrum/kanban), and modern collaborative data platforms. Responsibilities: Lead/contribute data engineering and/or data science projects to support IM firmsUse domain expertise to understand business requirements and design the right solutionBuild or implement data pipelines, databases, visualizations, and other data tools (hands-on)Contribute to team in a wide range of technical areas by instituting new practices and staying abreast of the latest technical developmentsTake initiative to lead/contribute to overall team efforts in software development, data engineering, data science, and technical consultingWork closely with other data engineers and data scientists to improve processes and enable faster insight-generation from complex datasets Qualifications BA/BS Degree (advanced degrees and/or CFAs are great too)5+ years general business experience preferred, especially in financial services, asset management, and/or management consulting or similar environments 5+ years of data engineering, data architecture, data science, and/or software engineering experienceExcel proficiencySQL proficiencyPython expertiseExperience with machine learning algorithms and techniquesExperience with modern data pipelines and/or data operating platforms (e.g. Dataiku, Alteryx, Spark)Able to lead ad-hoc and structured product teams within an agile frameworkExcellent interpersonal skills necessary to accomplish goals through others, including employees, peers, and other function/business areas of the companyPrimary Location: United States-USA-NY-New YorkOther Locations: United States-USA-MA-BostonInternal Jobcode: 70124Job: Asset ManagementExperience Level: ExperiencedOrganization: IM Infrastructure-HR14826 

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