Liquidity Data & Analytics Business Analyst

HSBC; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

HSBC is looking for a Liquidity Data & Analytics Business Analyst to enhance its liquidity risk management framework within the Global Treasury team. Candidates will have the opportunity to develop methodologies, optimize financial compliance, and contribute significantly to managing the Group's balance sheet in a mid-senior level position.

Qualifications

• Proficiency with visualization tools like Tableau or Superset.
• Strong SQL skills and experience in data analytics.
• Ability to develop liquidity models using Python.

Responsibilities

• Support the Treasury Liquidity Analytics team in developing methodologies.
• Identify improvement areas in current liquidity models.
• Collaborate with regional teams to gather insights for modeling.

Skills

SQL

Data analytics

Python

Visualization tools

Machine learning

Tools

Tableau

Superset

Job description

Liquidity Data & Analytics Business Analyst

Join HSBC as a Liquidity Data & Analytics Business Analyst and help enhance our liquidity risk management framework. This role is within the Global Treasury, Liquidity Insights & Methodologies team, responsible for safeguarding and optimizing the Group’s balance sheet and ensuring compliance with liquidity risk management standards.

The successful candidate will support the Treasury Liquidity Analytics team in developing new methodologies to model the Group’s main liquidity risk drivers. Key responsibilities include identifying improvement areas in current methodologies, developing enhancements or new models, and ensuring these are aligned with group strategy and regulatory requirements.

Required skills and experience:

• Proficiency with visualization tools (Tableau, Superset) to create dashboards
• Strong SQL skills and database management experience
• Expertise in data analytics and business analysis to support data-driven decisions
• Experience in implementing technical solutions for liquidity management
• Understanding of liquidity measures (ILM, LCR, NSFR, PRA110) and related financial systems
• Ability to develop liquidity models using Python and machine learning
• Experience querying and analyzing large datasets
• Ability to work independently, manage offshore resources, and influence stakeholders
• Experience reviewing and researching industry practices in liquidity risk modeling
• Collaborate with business units and regional teams to gather insights for modeling
• Propose and validate modeling methods, develop proof of concept models, and assess liquidity buffer impacts
• Work with technology teams to integrate models into central systems

If interested, please contact [e-mail]. Note that due to high application volumes, responses may be limited and applications will be considered on a rolling basis.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Analyst