Liquidity Data & Analytics

HSBC; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading global bank in London is seeking an experienced individual for the Liquidity Data & Analytics role. This role involves enhancing internal liquidity frameworks, developing new methodologies, and requires strong experience in visualization tools and database management. Ideal candidates will possess excellent analytical skills, experience in Python, and the ability to influence stakeholders. Competitive pay is offered for this contract position.

Qualifications

• Strong experience and skill in creating dashboards using visualisation tools.
• Knowledge of SQL for effective database management.
• Experience in data analysis and decision support.

Responsibilities

• Support the Treasury Liquidity Analytics team in enhancing internal liquidity frameworks.
• Develop new methodologies for liquidity risk drivers.
• Perform data analysis and validate new modeling approaches.

Skills

Using visualisation tools (Tableau and Superset)

Database management and SQL knowledge

Business Analysis skills

Technical solutions implementation

Understanding key liquidity measures

Liquidity modelling capabilities in Python

Data querying and transformation

Independence and stakeholder influence

Research industry practices

Collaborative work with teams

Job description

Liquidity Data & Analytics

London/Hybrid

Contract until end of 2025

£716.24 p/d Umbrella

If 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 capabilities
• Have experience in database management, with strong knowledge of SQL
• Strong 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 making
• Understanding 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 drivers
• Create liquidity modelling capabilities in Python, leveraging machine learning capabilities
• Ability to query big data, perform data transformation and data analysis on large datasets
• Ability 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 practises
• Work 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 modelling
• Collate results of research and propose modeling methods that provides a central modeling approach with and entity level calibrations
• Perform data analysis to and validate new methodologies
• Develop proof of concept models and monitor results for key sites
• Perform assessments on the liquidity buffer impact of any new proposed methodologies
• Work with technology teams to implement new models into the group’s central systems

If 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 [e-mail]

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