HSBC

3 weeks ago

AVP - Data 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 analytics initiatives using advanced statistical techniques, predictive modelling, and AI/ML to generate insights across risk and operations domains such as Fraud, Collections, Underwriting, and KYC. Translate emerging business priorities into measurable analytics use cases, manage end-to-end delivery from design through validation and performance tracking, and collaborate with business, operations, and technology teams to implement solutions and measurement frameworks.

Location: Guangzhou

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Analyse large volumes of structured and unstructured data to generate insights and recommendations across risk and operations (Fraud, Collections, Underwriting, KYC).
•Apply advanced statistical techniques, predictive modelling, and AI/ML methods to develop scalable solutions.
•Translate emerging business issues and priorities into analytics use cases with clear methodology and measurable outcomes.
•Manage end-to-end delivery of analytics initiatives, including solution design, validation, performance tracking, and impact assessment.
•Collaborate with business, operations, and technology teams to implement analytics/AI solutions and define performance measurement frameworks.

Key Requirements

•University degree (or above) in Statistics, Mathematics, Computer Science, Data/Information Management, or related fields.
•At least 6 years’ experience in retail banking analytics, including modelling and AI/ML.
•Strong track record extracting insights from large datasets and applying machine learning/AI techniques effectively.
•Hands-on experience with Python, SQL/BigQuery, and visualisation tools (Tableau or QlikSense), plus required experience with Google Cloud Platform (GCP).
•Experience in risk-related domains (e.g., Fraud, Collections, Underwriting, KYC) is an advantage.

Experience:6+ yearsRetail banking

Education:Bachelor's in Statistics, Mathematics, Computer Science, Data/Information Management, or a related discipline

Skills:CommunicationCollaborationOwnership mindsetService orientationInfluencing decisions

Tech Stack:PythonSQLBigQueryTableauQlikSenseGoogle Cloud Platform (GCP)AI/ML

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 weeks ago

AVP - Data 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: Sr. Manager level

Key Responsibilities

•Analyse large volumes of structured and unstructured data to generate insights and recommendations across risk and operations (Fraud, Collections, Underwriting, KYC).
•Apply advanced statistical techniques, predictive modelling, and AI/ML methods to develop scalable solutions.
•Translate emerging business issues and priorities into analytics use cases with clear methodology and measurable outcomes.
•Manage end-to-end delivery of analytics initiatives, including solution design, validation, performance tracking, and impact assessment.
•Collaborate with business, operations, and technology teams to implement analytics/AI solutions and define performance measurement frameworks.

Key Requirements

•University degree (or above) in Statistics, Mathematics, Computer Science, Data/Information Management, or related fields.
•At least 6 years’ experience in retail banking analytics, including modelling and AI/ML.
•Strong track record extracting insights from large datasets and applying machine learning/AI techniques effectively.
•Hands-on experience with Python, SQL/BigQuery, and visualisation tools (Tableau or QlikSense), plus required experience with Google Cloud Platform (GCP).
•Experience in risk-related domains (e.g., Fraud, Collections, Underwriting, KYC) is an advantage.

Experience:6+ yearsRetail banking

Education:Bachelor's in Statistics, Mathematics, Computer Science, Data/Information Management, or a related discipline

Skills:CommunicationCollaborationOwnership mindsetService orientationInfluencing decisions

Tech Stack:PythonSQLBigQueryTableauQlikSenseGoogle Cloud Platform (GCP)AI/ML

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