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HSBC Holdings · Guangzhou, Guangdong, China

# AVP - Data Analytics

Guangzhou, Guangdong, China Data & Analytics 

Listed on HSBC Holdings’s official careers site. Listed as of November 11, 2026. Check that it is still open and apply there.
[Apply on HSBC Holdings’s careers site →](https://portal.careers.hsbc.com/careers/job/563774612537061)

[OpenNash Jobs](https://jobs.opennash.com/) / [HSBC Holdings](https://jobs.opennash.com/companies/hsbc-holdings/) / AVP - Data Analytics

## Job description

Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Data Analytics. 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. Candidate with less relevant experience or skills may be offered a lower Global Career Band than stated above.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised. You’ll achieve more when you join HSBC. 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. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 28, 2026
- Last checked: Nov 11, 2026
- Listed for: 14 days
- Location: Guangzhou, Guangdong, China[Apply on HSBC Holdings’s careers site →](https://portal.careers.hsbc.com/careers/job/563774612537061)

## Hiring at HSBC Holdings
- Open jobs: 1,352
- New in the last 7 days: After two weekly collections
- Tracked since: Oct 13, 2026

[All HSBC Holdings jobs](https://jobs.opennash.com/companies/hsbc-holdings/) · [Weekly hiring report](/reports/hiring/)

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