AVP - Data and Analytics

HSBC
Guangzhou
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder management","Presentation","Communication","Written communication","Collaboration"]

Apply advanced data science to large-scale customer, product, and interaction datasets to build cross-sell/next-best-action style models. Engineer features from CRM and behavioral signals, prototype with Python/SQL, and deliver decision-ready dashboards in Looker. Partner with CRM, product, and business stakeholders on test-and-learn approaches (A/B testing) and translate outcomes into implementation-ready artifacts and business rules, while continuously improving delivery with automation and modern (including AI/LLM) tooling.

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FursaFursa
HSBC
HSBC
1 day ago

AVP - Data and Analytics

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Apply advanced data science to large-scale customer, product, and interaction datasets to build cross-sell/next-best-action style models. Engineer features from CRM and behavioral signals, prototype with Python/SQL, and deliver decision-ready dashboards in Looker. Partner with CRM, product, and business stakeholders on test-and-learn approaches (A/B testing) and translate outcomes into implementation-ready artifacts and business rules, while continuously improving delivery with automation and modern (including AI/LLM) tooling.
Location: Guangzhou
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key 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 such as propensity/uplift models, segmentation, eligibility rules, and prioritisation logic.
  • •Engineer features from CRM and behavioral signals (digital journeys, RM activities, campaign responses) to improve model performance and interpretability.
  • •Build and iterate prototypes using Python/SQL, delivering 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; communicate outcomes and translate insights into implementation-ready artifacts.

Key Requirements

  • •6+ years’ experience in banking analytics/data science with structured, well-organised delivery.
  • •Advanced Python and SQL skills, with experience performing complex statistical analysis on large datasets.
  • •End-to-end delivery experience in areas such as next-best-action, customer propensity or uplift modelling, NLP/NLU, social network analysis, or path analysis.
  • •Strong knowledge of CRM and customer engagement processes, with depth in CMB product operating model.
  • •Working knowledge of GCP services and analytics tooling, plus Hadoop concepts/ecosystem.
Experience:BankingAnalyticsData science
Skills:Stakeholder managementPresentationCommunicationWritten communicationCollaboration
Languages:English
Tech Stack:GCPHadoopPythonSQLLookerGitHubA/B testingAILLMNLPNLU

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn