# AVP - Data and Analytics

**Company**: HSBC
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774611858863?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6aeb5765-ca8

## Description

We are currently seeking an experienced professional to join our team in the role of AVP - Data and Analytics.

Principal responsibilities:

- 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.

Requirements:

- 6+ years’ experience 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 English.

## Skills

### Required
- Python
- SQL
- GCP
- Hadoop
- Looker
- CRM
- data science
- analytics

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774611858863?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)