This position is part of BNY Mellon's Corporate Treasury Data and Technology Strategy team. With minimal supervision, the successful candidate will conduct advanced research and perform data gathering and analyses functions in support of more senior team members tasked with controlling the risks associated with all balance sheet line items and products offered by BNY Mellon.
While a willingness and ability to learn more about Treasury and Asset and Liability Management data is expected, the successful candidate may provide analytical and problem solving support regarding data lineage to further develop the ALM data lineage strategy in alignment with enterprise-level guidance, and regulatory requirements.
Some experience with Database Structure, metadata management and visualization applications (such as Alteryx or ASG) and the ability to use SQL for data analysis, and a foundational knowledge of balance sheet concepts is preferred.
Qualifications
Bachelor's degree or the equivalent combination of education and experience is required. Degree in math, engineering, statistics, computational finance, economics or computer science preferred. Work toward or completion of MBA, CFA, or CPA/CA preferred. Five to seven years of total work experience preferred. Some experience with balance sheet data, its use, governance and management, and related data in any of the following: liquidity analytics and reporting; liquidity stress testing; liquidity risk management, interest rate risk management, or asset-liability management within large complex financial organizations is strongly preferred.
