Step into a world of global finance and unlock your potential as a Liquidity Risk Data and Reporting Associate with our Treasury and Chief Investment Office (TCIO) team. 

As a Liquidity Risk Data and Reporting Associate within the Treasury and the Chief Investment Office (TCIO) you will have a chance to support daily and monthly liquidity risk reporting processes. You will work in collaboration with other Team members validating, reconciling and correcting various asset product class liquidity risk data followed by their consumption into liquidity reporting and regulatory submission to FED/PRA/ECB and APAC regulators. You will work in Warsaw based Team and additionally cooperate with Team members in Bangalore, London, Hong-Kong, Delaware, New Jersey providing support to stakeholders around the Globe.

Job Responsibilities:

Perform financial product day to day data analysis to identify & resolve liquidity reporting data issues within extensive size data sets. Perform product reconciliations & assist with daily variance analysis Support the production of internal and external global liquidity regulatory reporting (6G, LCR, ALMM, NSFR) in line with Basel guidance Identify improvements and leverage available toolsets (Alteryx, Tableau, Excel) to own and implement changes through to completion Support technology enhancements and assisting in technology related developments, ensuring appropriate prioritization and end user testing Identify and enhance the overall control environment and operating model across the core operational activities Improve timeliness and reducing operational risk to the firm

 Required qualifications, capabilities, and skills:

A minimum of 4+ years’ experience in the financial services industry preferable within operations An experience with working on large data sets and advanced literacy maneuvering within those An experience with financial instruments like Deposits, Loans Bonds, Futures, Forwards (Derivatives) An experience or interest within liquidity risk management in financial institutions Strong analytic, creative thinking and problem solving skills, aptitude to work with numbers, attention to details Strong MS Excel to be able to work & analyze large data sets Adherence to 5 days a week work from the office model supported with Firmwide rules defined managerial exceptions.

Preferred qualifications, capabilities, and skills:

Bachelor degree required (Engineering, Finance or Business degree preferable)