Senior Associate, Data Management & Quantitative Analysis

The Bank of New York Mellon • Houston, TX

75d

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 of Senior Associate, Data Management & Quantitative Analysis to join our Structured Debt Client Platform team. This role is located in Houston, TX or Pittsburgh, PA.

Requirements

• Bachelor's degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred.
• 3-5 years of experience preferred.
• Experience in quantitative finance and technology preferred.
• Strong understanding of relevant processes and products in the assigned area, with the ability to interpret findings and translate complex technical concepts to non-technical audiences.
• Strong skills in SQL, querying, macro development, and familiarity with programming or system configuration to set up sophisticated models or algorithms.

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 advanced statistical and quantitative analyses, serving as a resource to less experienced colleagues.
• Use technology tools such as SQL, querying, and macro development to extract data, run models, identify exceptions, and take corrective action.

Benefits

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

What This Job Offers

• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees