Senior Associate, Data Management & Quantitative Analysis

BNY Mellon - Pittsburgh, PA

Full-time - Mid Level

Pittsburgh, PA

10,001+ employees

Credit Intermediation and Related Activities

About the position

As a Senior Associate in Data Management & Quantitative Analysis at BNY Mellon, you will play a crucial role in leveraging internal and external datasets to provide insightful analysis that supports the development of statistical, financial, and econometric models. This position is situated in Pittsburgh, PA, and operates in a hybrid work environment, allowing for a blend of in-office and remote work. You will work under moderate guidance, engaging with client reference data and conducting analyses that focus on asset performance, securities data, derivative pricing, and risk exposure. Your analytical skills will be essential in preparing both standard and ad hoc reports, contributing to the overall success of the assigned area. In this role, you will also support more advanced statistical and quantitative analyses, serving as a resource for less experienced colleagues. You will be responsible for running models, identifying exceptions, and taking corrective actions as necessary. Utilizing various technology tools, you will conduct thorough analyses that inform decision-making processes within the organization. Your contributions will not only enhance the team's capabilities but also help drive BNY Mellon's commitment to innovation and excellence in the financial services industry.

Responsibilities

• Work with internal and external datasets and client reference data to provide analysis for developing statistical, financial, and econometric models.
• Prepare drafts of standard and ad hoc reports for the assigned area.
• Support advanced statistical and quantitative analyses with moderate guidance.
• Serve as a resource to less experienced colleagues.
• Run models, identify exceptions, and take corrective actions as needed.
• Utilize technology tools to conduct analyses.

Requirements

• Bachelor's degree or equivalent combination of education and experience.
• 3-5 years of experience preferred, particularly in quantitative finance and technology.

Benefits

• Highly competitive compensation
• Flexible global resources and tools for personal and professional development
• Generous paid leaves to support family and personal needs
• Wellbeing programs focused on health and resilience