Data Analyst Liquidity Analytics

2 months ago

London, United Kingdom Experis LTD Full time

Job Title**:Data Analyst (Liquidity Analytics)**

Location: Canada Square, London (Hybrid working model)

Sector: Banking and Finance

Duration: Minimum 6 months

**Inside IR35 via Umbrella**

Start Date: March 2023

- **Experience with database management, with strong knowledge of SQL**:

- **Proficiency in Python for data manipulation and data analysis**:

- **Experience using Tableau software or other visualization tools to create appealing dashboards and analytical capabilities**:

- Ability to work independently and influence key stakeholders to ensure there is alignment on the delivery of key initiatives.
- Requires agility, as well as the ability to work with ambiguity and to quickly assess and prioritize
- High knowledge of the regulatory landscape with experience of regulator interaction.
- In depth understanding of HSBC group structure and product range and excellent understanding of the HSBC Group operational structure and its global businesses and functions
- Well-developed capacity to process high volumes of complex information and synthesize key themes and issues
- Very strong interpersonal and communication skills, with highly developed capacity to influence other stakeholders
- Proven experience working across business, regional and country dynamics. Understands how conflicts can be managed to deliver assigned tasks
- Able to manage self and others with diverse perspectives to deliver to tight deadlines
- Culturally aware and likely to have exhibited such by delivering strong results, cross border and ideally across a number of business and product disciplines
- Excellent time management, planning and organisation skills, with the ability to understand the scope of dependencies across the Group
- Combination of regulator -facing and business operations/programme leadership skill set preferred, including experience of managing projects, but not essential
- Strong knowledge of Liquidity risk measurement and management beyond regulatory prescribed principles
- 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
**ROLE CONTEXT**

The role sits within the Global Treasury, Liquidity team which is responsible for safeguarding and optimizing 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 supportthe Global Treasury Collateral Reporting team in the enhancement of the collateral reporting capabilities through design and delivery of technology solutions. Furthermore, this role will require a level of technical expertise in delivering automated solutionsthat support the operational processes used in the management of collateral reporting. As such the role will work closely with the Global Treasury Stress Testing and Analytics team.

The primary focus on commencement of the role will be the reporting of securities and loan collateral, including but not limited to:

- Eligibility for Central Banks
- Pre-positioning and encumbrance of securities, cash and loans collateral aligned to the Treasury Liquidity platform used for Regulatory liquidity reporting
- Enabling the projection of changes in these collateral levels during stress/resolution scenarios.

Key to delivery will be the ability to implement front-to-back automation changes required to capture and propagate the data required in the Finance/liquidity platform and manage dependencies and influence design of other workstreams within the programme.The role holder will work with the Global Head of Intraday Liquidity and Collateral and broader collateral project team as well FIR Programme Manager, businesses, FCD Project Manager, Regional Treasury Liquidity and Markets Treasury teams across all regions.

The role holder will:

- Work closely with business lines, regional liquidity teams, Markets Treasury and MSS teams to gain insight on attributes relevant to collateral.
- Driving out operating model design and implementation, including definition of processes, procedures, roles and responsibilities both globally and legal entity specific.
- Perform data analysis and validate new methodologies.
- Develop visualisation and MI for collateral reporting.
- Develop automated collateral forecasting capabilities to support liquidity steering and optimization.

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