Warszawa, Mazowieckie, Poland
2 days ago
Treasury Regulatory Reporting - Associate

As an Associate within the Treasury and the Chief Investment Office (TCIO) you will be responsible for execution and control activity of regulatory liquidity risk reporting, impacting the change agenda.

You will participate in top tier industry changes within the reporting process and have a chance for networking opportunity across widespread Team members based in Hong Kong, India, UK, EU and North America. While working within Treasury Middle Office team you will receive dedicated New Joiner Training Program, budget for equipment while working from home and hybrid working model.

Job Responsibilities:

EMEA daily, monthly and quarterly regulatory liquidity risk reporting execution (i.e. LCR, ALMM, NSFR, PRA110). Presentation of liquidity metrics and drivers behind period on period change along with the adhoc investigations to internal stakeholders. Identifying, raising and managing/monitoring remediation of technology or data production issues. Liquidity regulatory reporting review. Product reconciliations & assist with daily variance analysis. Support technology enhancements and assisting in technology related developments, ensuring appropriate prioritization and end user testing. Continually identify and enhance the overall control environment and operating model across the core operational activities.

 Required qualifications, capabilities, and skills:

A minimum of 6+ years’ experience in the financial services industry preferable within finance operations and working with large sets of financial data. +4 years of experience around treasury operations in the bank, preferably around (liquidity) regulatory reporting. In-depth knowledge of financial instruments and their liquidity risk profile. Bachelor’s degree required (Engineering, Finance or Business degree preferable). Strong analytic, creative thinking and problem-solving skills, aptitude to work with numbers, attention to details. Strong MS Excel to be able to work & analyse large data sets.
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