Job Title

Liquidity Data & AnalyticsLondon/HybridContract until end of September£716.24 p/d UmbrellaIf you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. We are currently seeking an experienced individual to join this team in the role Liquidity Data & Analytics.Role purpose:The role sits within the Global Treasury, Liquidity Insights & Methodologies team which is responsible for safeguarding and optimising the Group’s balance sheet and ensuring the Group’s entities adhere to the liquidity risk management framework. The purpose of this role is to support the Treasury Liquidity Analytics team in the enhancement of the internal liquidity framework by creating new methodologies to model the Group’s main liquidity risk drivers.The role holder will be required to identify areas of improvement within the current liquidity risk driver methodologies and develop enhancements, or new models, that will be deployed across the Group. This will require knowledge of regional risk nuances whilst ensuring new approaches are considerate of the group’s strategy and in compliance with all internal and regulatory governance requirements.Experience / Skill set:Strong experience using visualisation tools (Tableau and Superset), to create appealing dashboards and analytical capabilitiesHave experience in database management, with strong knowledge of SQLStrong Business Analysis skill set, including expertise in data analytics and data analysis to support data-driven decision-making.Manage the implementation of technical solutions (including MI & Analytics) to support and enable Liquidity Management decision makingUnderstanding appropriate areas of key liquidity measures as per the Group Framework (ILM, LCR, NSFR, PRA110, and other secondary monitoring metrics), Bank financial systems, related business areas, products and their strategic driversCreate liquidity modelling capabilities in Python, leveraging machine learning capabilitiesAbility to query big data, perform data transformation and data analysis on large datasetsAbility to work independently, manage offshore resources and influence key stakeholders to ensure there is alignment on the delivery of key initiatives.Review existing approaches to liquidity risk modelling across the group and research industry practisesWork closely with business lines, regional liquidity teams, Markets Treasury and MSS teams to gain insight on the new attributes that would support liquidity risk driver modellingCollate results of research and propose modeling methods that provides a central modeling approach with and entity level calibrationsPerform data analysis to and validate new methodologiesDevelop proof of concept models and monitor results for key sitesPerform assessments on the liquidity buffer impact of any new proposed methodologiesWork with technology teams to implement new models into the group’s central systemsIf you think you are up for the task and feel you meet the above criteria or interested to hear more information, please contact me on Amy.walker@Please note, in the event of a high volume of applications for this role, we will not be able to respond to each individual applicant. Unfortunately, if you have not been contacted within 7 days then we will not be progressing with your application. Thank you for your understanding