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Join Barclays as a Liquidity Risk Reporting - Assistant Vice President role, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. At Barclays, we don't just anticipate the future - we're creating it.
Job Responsibility:
Development and implementation of a comprehensive liquidity risk framework, including metrics, forecasting models, liquidity limits and stress testing scenarios
Assessment, review and improvement of the adequacy and appropriateness of Treasury’s strategies to optimise the bank's liquidity position, including managing cash reserves, borrowing facilities, and asset-liability matching
Monitoring daily liquidity positions, inflows, outflows, and potential funding gaps and report on liquidity risk metrics to senior management and regulators
Identification and assessment of potential sources of liquidity risk, such as market volatility, customer withdrawals, and regulatory changes
Development and testing of contingency plans to address liquidity shortfalls and market disruptions and Implementation of corrective actions as needed to maintain adequate liquidity levels
Requirements:
Knowledge of the liquidity regulatory metric calculation methodologies (in particular LCR, NSFR, PRA110, ALMM) and underlying drivers
Must have strong communication skills, both written and verbal, with the ability to work both independently and collaboratively
Excellent presentation skills
Excellent Microsoft Excel skills
Strong Balance sheet and Finance skills
Strong understanding of Control and Governance frameworks
Experience in driving change initiatives including working with IT on automation initiatives
Excellent relationship management skills, with an ability to develop and maintain strong, open and trusted relationships with a variety of stakeholders outside of the immediate team
Nice to have:
Experience within a Liquidity (Risk) Management function
Some/Preferred experience in data visualisation (e.g. Qlik, Tableau, Hypercube) and coding (e.g. SQL, Python, R)
Working knowledge of data mining / automation tools (SQL, VBA)
Degree educated with a relevant qualification (ACA, CFA)