About The Position

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Data Management and Quantitative Analysis to join our team. This role is located in Lake Mary FL.

Requirements

  • Bachelor’s degree or the equivalent combination of education and experience
  • 0-2 years of experience preferred
  • No direct reports; primarily responsible for the accuracy and quality of own work.

Nice To Haves

  • Advanced degree in quantitative analysis preferred
  • Experience in quantitative finance and technology preferred

Responsibilities

  • Work with internal and external datasets and client reference data to provide analysis in the development of statistical, financial, and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure, or other sophisticated concepts.
  • Provide analytical support and prepare drafts of standard and ad hoc reports for the assigned area.
  • Support assigned area with basic statistical and quantitative analyses under general guidance; may perform or oversee data management activities in support of more senior quantitative colleagues.
  • Run models, identify exceptions, take corrective action, and build knowledge of technology tools used to conduct analyses, including querying and macro development to extract data for populating models.

Benefits

  • Highly competitive compensation
  • Benefits and wellbeing programs
  • Access to flexible global resources and tools
  • Generous paid leaves
  • Paid volunteer time
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