Analytics Modelling

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

We are currently seeking an experienced professional to join our team in the role of Analytics Modelling.

In this role, you will:

• Explore, cleanse and transform large volumes of customer, product, channel and interaction data across platforms including GCP and Hadoop.
• Develop cross-sell/NBA analytics, including propensity/uplift models, segmentation, eligibility rules and prioritisation logic. Engineer features from CRM and behavioural signals (e.g., digital journeys, RM activities, campaign responses) to improve model performance and interpretability.
• Build and iterate prototypes using Python/SQL and relevant tooling; create decision-ready dashboards and monitoring views in Looker.
• Partner with CRM, product and Business stakeholders to define use cases, success metrics and test-and-learn approaches (e.g., A/B testing, champion–challenger).
• Communicate modelling approach, assumptions, limitations and outcomes clearly to technical and non-technical audiences. Translate insights into actionable recommendations and implementation-ready artefacts (e.g., scoring outputs, business rules, playbooks, targeting lists).
• Drive continuous improvement through automation and modern tooling (including AI/LLM-enabled approaches where appropriate) to streamline analysis and delivery.
• Maintain strong engineering discipline (version control, documentation, reproducibility) and contribute to shared code assets.

To be successful you will:

• 6+ years’ experience for band 5 ( 3+ for band 6)  in banking analytics/data science, with a structured and well-organised approach to delivery.
• Strong understanding of CMB products and operating model, with particular depth in CRM and customer engagement processes.
• Advanced Python and SQL skills, with proven experience analysing large datasets and performing complex statistical analysis.
• Demonstrated end-to-end delivery experience (development through implementation) in at least one of the following: recommendation/next-best-action, customer propensity modelling, uplift modelling, NLP/NLU, social network analysis, or path analysis (e.g., browsing behaviour or geolocation).
• Strong working knowledge of GCP services and analytics tooling; solid understanding of Hadoop concepts and ecosystem.
• Proven track record of converting data into insights and delivering measurable business impact (e.g., conversion uplift, increased product penetration, improved RM productivity).
• Strong stakeholder management, presentation and communication skills. Active GitHub contributor (or equivalent evidence of strong version control and collaborative coding practices). Excellent written and spoken communication skills in both Mandarin and English.

You’ll achieve more at HSBC

hsbc.com/careers

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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