CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
Summary : BNY Mellon Investment Management isone of the world's leading investment management organizations and one of thetop U.S. wealth managers. Our business encompasses BNY Mellon's affiliatedinvestment management firms, wealth management organization, and globaldistribution companies. Our goal is to build and deliver investment andwealth management strategies and solutions to meet our clients' needs.
Drawing on deep expertise, wecollaborate with our clients to tailor our best ideas and resources to meettheir specific requirements. Through our global network we have developed asignificant understanding of local requirements. We pride ourselves onproviding dedicated service through our teams.
With extensive experience inanticipating and responding to the investment and financial needs of theworld's governments, pension plan sponsors, corporations, foundations,endowments planned giving programs, advisors, intermediaries, individuals andfamilies, and family offices, BNY Mellon Investment Management can help ourclients reach their goals. The Role : Reporting to the Head ofInvestment Management (IM) Data Solutions, the Senior Data Engineer will 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 firms onstrategic projects, creating valuable tools and insights for decision makersacross portfolio management, sales, marketing, and other key areas of the business.The Data Solutions team capitalizes on opportunities across business linesusing the best tools and practices, like machine learning, econometrics, agiledevelopment (scrum/kanban), and modern collaborative data platforms. Responsibilities :
Lead data engineering and/or data science projects to support IM firms
Use domain expertise to understand business requirements and design the right solution
Build 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 developments
Take initiative to lead/contribute to overall team efforts in software development, data engineering, data science, and technical consulting
Work closely with other data engineers and data scientists to improve processes and enable faster insight-generation from complex 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
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-New York Internal Jobcode: 70124 Job: Asset Management Organization: IM Infrastructure-HR14826 Requisition Number: 1917029