AVP - Data and Analytics

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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 AVP - Data and Analytics.

Principal responsibilities

• Independently own end-to-end risk data analytics and full lifecycle risk data asset validation. Lead the assessment of data accuracy, integrity, consistency and structural data risks. Identify systemic data quality issues, conduct root-cause analysis, and drive cross-team remediation and long-term data standardization improvements.
• Lead and oversee enterprise risk monitoring and compliance reporting frameworks. Own the design, stabilization, and continuous optimization of recurring risk tasks, control monitoring outputs, compliance logs, and periodic risk operation reports to support internal review, management oversight, internal audit and compliance evidence requests.
• Provide stable cross-functional data and risk support for Compliance, Internal Audit, Business, and IT Governance teams. Respond to recurring and ad-hoc data inquiries, audit evidence requests, and compliance validation needs, ensuring all risk and AI governance deliverables are well-documented, explainable, and fully auditable.
• Take full ownership of the company’s internal fraud program and employee misconduct detection mechanism. Lead advanced behavioral and transactional risk analysis, identify complex, hidden internal risk patterns, conduct trend governance, and deliver high-confidence risk findings for investigation and control enhancement.
• Partner closely with compliance, internal audit, technology, and business leadership to provide senior-level data insights, validate control effectiveness, and support formal audit review and governance reviews.
• Support ad-hoc advanced analytics and AI-related tasks upon team request (non-core responsibility). Assist in statistical analysis, model validation, and analytical enhancement projects as supplementary capacity when needed.
• Serve as the data owner for enterprise AI Governance oversight. Independently conduct AI model data validation, algorithm fairness monitoring, model drift detection, AI access & behavior audit, and AI compliance risk assessment. Establish AI risk logs, govern AI operational control quality, and drive continuous AI governance maturity improvements.
• Lead structured risk post-mortem, conduct in-depth causal analysis for complex risk incidents, data control failures, and AI governance gaps. Summarize systemic risk weaknesses, refine risk rule sets, control standards, and governance best practices to proactively mitigate enterprise-level risks.
• Provide senior ad-hoc advanced analytics support for critical risk initiatives, model validation projects, and AI governance enhancement tasks as required.
• Standardize team SOPs, govern risk data quality standards, and continuously mature the overall risk and AI data governance framework.

Requirements

• Bachelor’s degree or above in Statistics, Mathematics, Data Science, Finance, Risk Management, or other quantitative disciplines.
• 5+ years of mature, hands-on experience in risk analytics, risk data governance, compliance monitoring, operational risk, or internal misconduct risk analysis. Mid-senior level experience is mandatory for this role.
• Fluent in written and spoken English, Mandarin and Cantonese is highly referred.
• Proficient in SQL / Python with strong capability with proven experience handling complex dataset reconciliation, systemic data validation, and enterprise-level risk data analysis.
• Mature risk mindset with strong capability to identify systemic control weaknesses, hidden operational risks, and complex behavioral risk patterns.
• Deep understanding of enterprise internal control architecture, compliance governance logic, fraud risk typologies, and conduct risk management practices.
• Solid practical knowledge of AI governance, model risk management, algorithmic compliance, and AI operational risk control.
• Strong independent delivery capability, able to own complex governance workflows end-to-end with minimal supervision.
• Excellent structured analysis and senior-level report writing skills for leadership and audit audiences.
• Demonstrated cross-team influencing and stakeholder management ability.

Professional Attitude & Personal Traits (Senior Level)

• Possess mature professional values, high integrity, and strict professional ethics; trustworthy and highly principled when handling sensitive risk and internal control data.
• Proactive, self-driven, and highly responsible; demonstrate strong ownership for critical governance and risk deliverables.
• Stable, resilient, and positive-minded; capable of managing high-pressure, high-responsibility senior-level workloads with consistent quality.
• Mature teamwork mindset, good at communication, collaboration, and cross-team alignment to drive systemic improvements.
• Highly rigorous, detail-oriented, and disciplined, with strong risk awareness and zero tolerance for sloppy governance practice.

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.