Data Scientist Data Scientist …

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

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 Data Scientist willlead, design and architect solutions to complex data integration, data science,and automation problems. This is a unique opportunity to join the IM DataSolutions team, a small, multi-disciplinary team that is transforming the way informationis created, used, and communicated within BNY Mellon IM. The group worksdirectly with BNY Mellon's Investment Management companies onstrategic 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 science and/or data engineering projects tosupport IM Investment Management companies

  • 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 tocontribute to overall team efforts in software development, data science, andtechnical consulting

  • Work closely withData Engineers to improve processes and enable faster insight-generation fromcomplex datasets


Qualifications

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

  • 5-7 years of generalbusiness experience, especially in financial services, asset management, and/ormanagement consulting or similar environments

  • 2-3 years ofhands-on data/coding experience

  • Proficiency with Python (pandas, numpy, scikit-learn)

  • Proficiency withquery languages, databases, and large datasets

  • Experience withmodern data pipelines and/or data operating platforms (e.g. Dataiku, Alteryx,Spark)
  • Statistical competence

  • Experience with machinelearning algorithms and techniques

  • Able to leadad-hoc and structured product teams within an agile framework

  • Excellentinterpersonal skills necessary to accomplish goals through others, includingemployees, 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: 70125
Job: Asset Management
Organization: IM Infrastructure-HR14826
Requisition Number: 1913998
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