If you’re looking to take an exciting new direction with your HSBC career, an internal move can open the door to many opportunities, allowing you to take on a new challenge, and develop your skills. Bring your knowledge of our brand to a new role and grow yourself further.
Wholesale Credit & Lending (WCL) plays a crucial role within the Group, supporting 80% of the revenues generated by Wholesale banking and contributing significantly to the Group P&L.
The team provide predictive & impactful insights and intelligence harnessing the infrastructure (big data platforms) and analytical tools delivered by partners in Data and Technology.
The scope includes setting the strategy for Wholesale Credit data assets which are used by Customers, Front Line colleagues and Global functions to enable market opportunities, control risks and reduce costs.
We are currently seeking an experienced individual to join this team in the role of Associate, Credit Insights and Intelligence. The base location for this role is Birmingham with a Hybrid working model.
As an Associate Credit Analyst, you will report to the Director Credit Insights & Intelligence and work to define transformation strategies for operational and analytical use cases that support the delivery of WCL data assets for Credit, Regulatory and ESG WCL processes and analytics.
In this role, you will:
• Leading and overseeing the change plan for data requirements in Wholesale Credit & Lending.
• Providing guidance and advice on credit data definitions.
• Providing guidance and advice on technology and big data.
• Applying advanced analytics to portfolio data, especially in data remediation and improving data quality, completeness, and consistency.
• Produce analytical / data assets prototypes and work with stakeholders to define requirements, definitions, and objectives.
• Collaborating with various stakeholder groups to ensure the availability and quality of data.
• Partnering with delivery teams to ensure compliance with business and data design principles, risk management, and technology architecture.
• Supporting the design and development of data assets, including data analysis and transformation logic.
• Providing support for troubleshooting and root cause assessment of data issues