HSBC

3 days ago

Manager - Data and Analytics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead end-to-end data science and analytics initiatives for cross-sell and next-best-action use cases in CRM and customer engagement. Explore, cleanse, and transform large customer/product/channel datasets across GCP and Hadoop, build propensity/uplift models, and engineer features from CRM and behavioral signals. Create decision-ready dashboards in Looker, partner with stakeholders on experimentation and success metrics, and translate insights into implementation-ready rules, scoring outputs, and targeting lists.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Explore, cleanse, and transform large volumes of customer, product, channel, and interaction data across GCP and Hadoop.
•Develop cross-sell/NBA analytics, including propensity/uplift models, segmentation, eligibility rules, and prioritisation logic.
•Engineer features from CRM and behavioral signals (e.g., digital journeys, RM activities, campaign responses) to improve model performance.
•Build and iterate prototypes using Python/SQL and 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; translate insights into implementation-ready artefacts.

Key Requirements

•3+ years’ experience in banking analytics/data science with structured delivery.
•Advanced Python and SQL skills for analyzing large datasets and complex statistical analysis.
•End-to-end delivery experience in at least one area such as next-best-action, propensity/uplift modeling, NLP/NLU, social network analysis, or path analysis.
•Strong working knowledge of GCP and analytics tooling, with understanding of Hadoop concepts and ecosystem.
•Strong stakeholder management and English communication skills.

Skills:Stakeholder managementCommunicationContinuous improvementEngineering disciplineWritten communication

Languages:English

Tech Stack:GCPHadoopPythonSQLLookerCRMGitHubA/B testingAI/LLM

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: 3.6

Website LinkedIn

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HSBC

3 days ago

Manager - Data and Analytics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Explore, cleanse, and transform large volumes of customer, product, channel, and interaction data across GCP and Hadoop.
•Develop cross-sell/NBA analytics, including propensity/uplift models, segmentation, eligibility rules, and prioritisation logic.
•Engineer features from CRM and behavioral signals (e.g., digital journeys, RM activities, campaign responses) to improve model performance.
•Build and iterate prototypes using Python/SQL and 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; translate insights into implementation-ready artefacts.

Key Requirements

•3+ years’ experience in banking analytics/data science with structured delivery.
•Advanced Python and SQL skills for analyzing large datasets and complex statistical analysis.
•End-to-end delivery experience in at least one area such as next-best-action, propensity/uplift modeling, NLP/NLU, social network analysis, or path analysis.
•Strong working knowledge of GCP and analytics tooling, with understanding of Hadoop concepts and ecosystem.
•Strong stakeholder management and English communication skills.

Skills:Stakeholder managementCommunicationContinuous improvementEngineering disciplineWritten communication

Languages:English

Tech Stack:GCPHadoopPythonSQLLookerCRMGitHubA/B testingAI/LLM

Company Brief

HSBC

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: 3.6

Website LinkedIn