Specialist, Treasury and ALM

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 Specialist to join our Treasury team. This role is located in Pittsburgh.

In this role, you'll make an impact in the following ways:

Under direct guidance, works with internal datasets, QRM data, reference data and market data and provides analysis in support of Corporate Treasury Asset/Liability Management processes. Provides analytical support and prepares drafts of standard and ad hoc reports for assigned area.

With general guidance, supports assigned area with basic data validation, reconciliation and quantitative analyses.

May perform or support data management activities in support of more senior QRM and Corporate Treasury colleagues.

Runs queries and QRM-related processes, looks for exceptions and data breaks, and assists with corrective action.

Builds knowledge of technology tools used to conduct analyses, including SQL, QRM Risk Management Framework and QRM Management Repository.

Applies techniques such as querying, reporting and macro development to extract data for populating models, controls and reports.

Builds knowledge of Corporate Treasury processes, products, data models and methodologies that support asset-liability management, performance assessment and risk reporting.

Interprets findings and prepares initial drafts of standard reports and documentation.

To be successful in this role, we're seeking the following:

Bachelor's degree or the equivalent combination of education and experience.

Advanced degree in quantitative analysis preferred.

0-2 years experience preferred.

Experience in quantitative finance and technology preferred