Associate, Client Insight Analytics

We are currently seeking a high calibre professional to join our team as a Associate, Client Insight Analytics. In this role you will: Client Journey Analytics: Support the development and execution of analytics initiatives that map and evaluate the client journey. Leverage client feedback and survey data to identify opportunities, assess wallet share, and measure customer value. Customer Experience Analytics: Leverage internal and external survey data-including Voice of the Client and other str

HSBC - Hong Kong - Full time

Salary: Competitive

We are currently seeking a high calibre professional to join our team as a Associate, Client Insight Analytics.

In this role you will:
  • Client Journey Analytics:
    Support the development and execution of analytics initiatives that map and evaluate the client journey. Leverage client feedback and survey data to identify opportunities, assess wallet share, and measure customer value.
  • Customer Experience Analytics:
    Leverage internal and external survey data-including Voice of the Client and other structured feedback mechanisms to conduct advanced analytics on customer experience.
  • External Data Management:
    Assist in the identification, evaluation, and management of external market data sources, ensuring data quality, compliance, and optimal business value.
  • Data Integration & Insight Generation:
    Integrate data from internal platforms (e.g., CIB DL, CME, Omnia) with external datasets and client feedback. Develop comprehensive, commercially relevant insights using advanced analytics and data visualisation techniques.
  • Stakeholder Collaboration:
    Work closely with CIB leadership, relationship managers, product, and service teams to ensure analytics outputs are aligned with business objectives and support client relationship management.
  • Analytics Community Engagement:
    Contribute to cross-functional analytics initiatives, sharing best practices and supporting efforts to streamline analytics processes and eliminate duplication across teams.
  • Market Intelligence:
    Monitor and analyse market trends, competitor positioning, and emerging client needs, translating findings into actionable recommendations for commercial strategy.


To be successful you will need:
  • Technical Data Analysis:
    Demonstrated experience in analysing complex datasets from multiple sources and translating findings into actionable business insights.
  • Domain Knowledge:
    Solid understanding of Corporate & Institutional Banking, client lifecycle, and key performance indicators relevant to the sector.
  • Data Management:
    Experience in sourcing, evaluating, and managing external market data. Familiarity with compliance and data governance standards.
  • Technical Proficiency:
  • Proficient in data integration from platforms such as CIB DL, Omnia and CME, as well as client feedback tools (Voice of the Client, NPS).
  • Proficiency in Python, with strong familiarity across relevant libraries and packages for statistical analysis, NLP, and deep learning.
  • Working knowledge of SQL for data querying and extraction.
  • Experience with data visualisation tools (e.g., Tableau, Power BI) for creating impactful dashboards and reports.
  • Exposure to advanced analytics and emerging technologies (e.g., Generative AI) is desirable.
  • Communication & Stakeholder Management:
    Excellent communication and interpersonal skills, with the ability to present complex technical findings to both technical and non-technical audiences.
  • Project Delivery:
    Proven ability to contribute to business optimisation and innovation projects, working effectively in dynamic, cross-functional environments.
  • Inclusive Mindset:
    Commitment to fostering an inclusive team culture and valuing diverse perspectives for enhanced problem-solving.
  • Experience in data analytics, client insights, or market intelligence within corporate, institutional, investment, or transaction banking.
  • Bachelor's degree (or higher) in Business, Finance, Economics, Data Science, or a related quantitative field is preferred.
  • Strong understanding of financial concepts such as credit risk, revenue drivers, capital allocation, and return metrics (e.g., RWA, RoRWA, RoTE).


Opening up a world of opportunity

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

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