Associate, Client Intelligence

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.

We are currently seeking an experienced professional to join our team in the role of Associate, Client Intelligence.

The Client & Banking Analytics (CBA) team within CIB transforms data into strategic analytics that drive insight, innovation, and commercial performance across HSBC. As the business owner of Omnia and CME, CBA helps simplify analytics, enhance business intelligence, and improve client and shareholder outcomes. We deliver data‑driven insights to optimise investment across clients, products, channels, and resources, and to enhance pricing.

This is supported by disciplined governance, consistent methodology, and fact‑based analysis.

As an Associate within the Client Intelligence pillar, you will help deliver advanced analytics that commercialise HSBC’s internal client data and integrate external datasets to generate actionable insights. You will own defined analytics work streams end‑to‑end (from problem framing to delivery), partnering closely with stakeholders to identify growth opportunities, define high‑potential clients, and optimise customer value to guide investment decisions across clients, products, and channels.

Where appropriate, you will use approved AI tools to accelerate delivery, with appropriate validation and governance.

A move across the business allows you to continue to access tailored professional development opportunities, and our fantastic benefits packages.

As an Associate Director within the Client Intelligence pillar, you will be an advanced analytics expert in the Client & Banking Analytics (CBA) team, combining deep data science expertise with the responsible use of approved AI, to unlock scalable insights and move from question to action faster. Your primary focus will be to commercialise HSBC’s internal client data, integrating external datasets to deliver cutting‑edge insights.

The primary objective is to identify growth opportunities, define high‑potential clients, measure and optimise customer value to deliver commercially oriented insights guiding investment across clients, products and channels. This role directly empowers strategic and commercial decision‑making for CIB leadership and the frontline.

• Build, test, and deploy analytical models for client profiling, segmentation, wallet sizing, customer value measurement, and growth use cases.
• Use approved AI tools, including agentic workflows, to support analysis and automation where relevant.
• Translate analysis into clear recommendations, commercial implications, and practical next steps for frontline and CIB leadership.
• Work with coverage, product, and servicing teams to understand needs, refine requirements, and support adoption of analytics outputs into business routines.
• Partner with data engineering/technology to access data, improve data quality, document assumptions, and follow governance standards.
• Maintain robust model documentation, performance monitoring, and repeatable processes; contribute to reusable code and standard methodologies.
• Support junior colleagues through peer review, knowledge sharing, and best‑practice guidance (without necessarily being a formal people manager).

• Working knowledge of Python (preferred), SQL; experience with modelling techniques (predictive, statistical, ML).
• Familiarity with big data and/or cloud environments (e.g., Spark/Hadoop; AWS/Azure/GCP) and visualization tools (Power BI/Tableau).
• Experience with disciplined coding practices and have a systems mindset.
• Familiarity with AI‑assisted analytics and a practical approach to when to use it and how to validate outputs.
• Working knowledge of CIB client segments and commercial drivers; experience in at least some of: client segmentation, wallet sizing, client profiling, peer benchmarking, pipeline/sales analytics.
• Able to explain methods and results to…