Role OverviewAs an Associate in Client Intelligence, you'll support the development of analytics and MI that help commercialize internal client data and incorporate external datasets. You will contribute to building datasets, developing robust analytical tooling, running analyses, producing dashboards/outputs, and turning findings into clear, usable insights for stakeholders—while developing your modelling and banking domain knowledge.
What You Will Do
Extract, clean, and join datasets (internal and external) using SQL and Python/R; perform exploratory analysis and basic feature engineering. Assist in building and validating models for segmentation, client profiling, wallet sizing, and customer value measurement under guidance from senior colleagues.
Why It Might Be a Fit
We are looking for individuals who are not only analytically strong, but also curious about how emerging AI capabilities can enhance analytical workflows, productivity, and insights generation. You will have the opportunity to work across time zones and manage tasks to deadlines, and be empowered to drive HSBC's engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives.
Requirements
- Working knowledge of Python (preferred), SQL or R; comfortable with data wrangling and basic statistics.
- Experience with disciplined coding practices and have a systems mindset.
- Curious, structured problem-solver; able to spot patterns, test hypotheses, and communicate findings clearly.
- Can summarize analysis in plain language and produce well-structured materials for business audiences.
- Collaborative and dependable; able to work across time zones and manage tasks to deadlines.
- Bachelor’s degree in a quantitative or analytical discipline (or equivalent experience).
- Experience in analytics, MI, data science, consulting analytics, or a related role (financial services experience beneficial but not required)
Benefits
- Competitive pay and benefits package
- Robust Wellness Hub
- Welcoming and inclusive work environment
- Industry-leading volunteerism policy
- Generous matching gift program
- Comprehensive program of immersive Sustainability and Climate Change Initiatives
- Employee Resource Groups
- Access to tailored professional development opportunities
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