Specialist, OPS Data Management & Quantitative Analysis II
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 and champions of inclusion, 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 Specialist, OPS Data Management & Quantitative Analysis II, to join our Fund and Client IS Ops team. This role is located in Lake Mary, FL.
Requirements
- Bachelors degree or the equivalent combination of education and experience.
- 2-3 years of experience preferred.
Nice To Haves
- Advanced degree in quantitative analysis preferred.
- Experience in quantitative finance and technology preferred.
Responsibilities
- Works with internal and external datasets and client reference data to support statistical, financial, and/or econometric model development.
- Provides analytical support and prepares drafts of standard and ad hoc reports for the assigned area.
- Supports basic and sometimes more advanced statistical and quantitative analyses under general guidance.
- Performs or oversees data management activities, runs models, looks for exceptions, and takes corrective action.
Benefits
- highly competitive compensation
- benefits
- wellbeing programs
- flexible global resources and tools
- generous paid leaves
- paid volunteer time
- medical, dental, vision, and basic life insurance plans
- various paid time off benefits, such as vacation and sick time
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
