# AVP - Data Analytics

**Company**: HK Business
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612537061?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_051668fd-a22

## Description

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

Principal 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 practical, scalable solutions.

- Proactively identify emerging business issues and priorities, and translate them 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.

- Deliver high-quality outputs on time in a fast-changing environment, balancing rigour with pace.

- Collaborate with business, operations and technology teams to implement analytics/AI solutions and define performance measurement frameworks.

- Share knowledge and best practices, contributing to a collaborative, inclusive and supportive team culture.

Requirements:

- University degree (or above) in Statistics, Mathematics, Computer Science, Data/Information Management, or a related discipline.

- At least 6 years’ experience in retail banking analytics, including modelling and AI/ML.

- Strong track record of 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); experience working in Google Cloud Platform (GCP) is required.

- Experience in risk-related domains (e.g., Fraud, Collections, Underwriting, KYC) is an advantage.

- Strong communication skills with the ability to explain complex analysis clearly to varied audiences and influence decisions.

- Proven ability to work effectively across business, operations and technology stakeholders.

- High ownership mindset and strong service orientation, focused on improving customer communication and service delivery.

Benefits: HSBC is 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.

## Skills

### Required
- Python
- SQL/BigQuery
- Tableau
- QlikSense
- Google Cloud Platform (GCP)
- Statistics
- Mathematics
- Computer Science
- Data/Information Management

### Nice to have
- Experience in risk-related domains (e.g., Fraud, Collections, Underwriting, KYC)

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612537061?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)