Senior Data Engineer Senior Data Engineer …

BNY Mellon Investment Management
in New York, NY, United States
Permanent, Full time
Be the first to apply
BNY Mellon Investment Management
in New York, NY, United States
Permanent, Full time
Be the first to apply
Senior Data Engineer

Summary :
BNY Mellon Investment Management is one of theworld's leading investment management organizations and one of the top U.S.wealth managers. Our business encompasses BNY Mellon's affiliated investmentmanagement firms, wealth management organization, and global distributioncompanies. Our goal is to build anddeliver investment and wealth management strategies and solutions to meet ourclients' needs.

Drawing on deep expertise, we collaborate with ourclients to tailor our best ideas and resources to meet their specificrequirements. Through our global network we have developed a significantunderstanding of local requirements. We pride ourselves on providing dedicatedservice through our teams.

With extensive experience in anticipating andresponding to the investment and financial needs of the world's governments,pension plan sponsors, corporations, foundations, endowments planned givingprograms, advisors, intermediaries, individuals and families, and familyoffices, BNY Mellon Investment Management can help our clients reach theirgoals.
The Role :
Reportingto the Head of Investment Management (IM) Data Solutions, the Senior Data Engineerwill lead, design and architect solutions to complex data integration, processre-engineering, data science, and automation problems. This is a uniqueopportunity to join the IM Data Solutions team, a small, multi-disciplinaryteam that is transforming the way information is created, used and communicatedwithin BNY Mellon IM. The group works directly with BNY Mellon's IM firmson strategic projects, creating valuable tools and insights for decision makersacross portfolio management, sales, marketing, and other key areas of thebusiness. The Data Solutions team capitalizes on opportunities across businesslines using the best tools and practices, like machine learning, econometrics,agile development (scrum/kanban), and modern collaborative data platforms.
Responsibilities :

  • Lead data engineering and/or data science projects tosupport IM firms

  • Use domain expertise to understand business requirementsand design the right solution

  • Build or implementdata pipelines, databases, visualizations, and other data tools (hands-on)

  • Contribute to teamin a wide range of technical areas by instituting new practices and stayingabreast of the latest technical developments

  • Take initiative tolead/contribute to overall team efforts in software development, dataengineering, data science, and technical consulting

  • Work closely with other data engineers and data scientists to improve processes and enable faster insight-generation fromcomplex datasets


  • BA/BS Degree (advanced degrees and/or CFAs are great too)

  • 10+ years general business experience, especially in financial services, asset management, and/or management consulting or similar environments

  • 6+ years of data engineering, data architecture, data science, and/or software engineering experience
  • Excel proficiency
  • SQL proficiency
  • Python expertise

  • Experience with machine learning algorithms and techniques

  • Experience 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 framework

  • Excellent interpersonal skills necessary to accomplish goals through others, including employees, peers, and other function/business areas of the company

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer.
Minorities/Females/Individuals With Disabilities/Protected Veterans.

Primary Location: United States-New York-
Internal Jobcode: 70124
Job: Asset Management
Organization: IM Infrastructure-HR14826
Requisition Number: 1914660