Liquidity & Data Analytics

Summary: The role of Liquidity Data & Analytics at HSBC involves supporting the Treasury Liquidity Analytics team in enhancing the internal liquidity framework by developing new methodologies for modeling liquidity risk drivers. The position requires a strong understanding of liquidity risk management and the ability to create and implement technical solutions. The role is hybrid and is contracted until the end of September, with a focus on collaboration across various teams within the organization.

Key Responsibilities:

• Support the enhancement of the internal liquidity framework by creating new methodologies to model liquidity risk drivers.
• Identify areas for improvement in current liquidity risk driver methodologies and develop enhancements or new models.
• Manage the implementation of technical solutions to support liquidity management decision-making.
• Create liquidity modeling capabilities in Python, leveraging machine learning.
• Perform data analysis and validate new methodologies.
• Work closely with business lines and regional liquidity teams to gain insights for modeling.
• Review existing liquidity risk modeling approaches and research industry practices.
• Develop proof of concept models and monitor results.
• Collaborate with technology teams to implement new models into central systems.

Key Skills:

• Strong experience with visualization tools (Tableau and Superset).
• Proficient in database management and SQL.
• Expertise in business analysis and data analytics.
• Ability to query big data and perform data transformation.
• Understanding of key liquidity measures as per the Group Framework.
• Ability to work independently and manage offshore resources.
• Strong stakeholder influence and alignment skills.
• Experience in developing liquidity modeling capabilities in Python.

Salary (Rate): 716.24

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: Finance