VP, FC Investigative Tooling Greater Guangzhou, China Area

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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 VP, FC Investigative Tooling.

Principal responsibilities

Impact on the Business

Lead agreed use cases from discovery through controlled production release, adoption and benefits realisation. Translate user needs into pragmatic technical designs and demonstrate measurable improvement in investigation quality, decision consistency, detection effectiveness, investigator capacity or risk reduction while meeting defined safety, control, reliability and supportability thresholds.

Contribute reusable components (templates, libraries, evaluation harnesses, reference implementations) to reduce duplication and accelerate delivery across squads.

Customer / Stakeholders

Partner with Product Owners, investigators, Financial Crime subject-matter experts, Technology teams and control functions to define use cases, acceptance criteria and measurable outcomes. Lead the redesign and adoption of affected workflows, including responsibilities, training, user guidance, exception handling and adoption measures. Use field evidence to identify workarounds, automation bias or control degradation and adjust the solution or process.

Leadership and Teamwork

Provide hands-on technical leadership across forward-deployment work, setting engineering, evaluation and safety standards and making timely recommendations where requirements are ambiguous. Lead multidisciplinary delivery through expertise and influence rather than formal line authority, coach engineers and analysts, surface risks and failed assumptions early, and build reusable capability across Investigative Tooling so delivery does not depend on the role holder as a single expert.

Demonstrate inclusive collaboration across geographies, roles and backgrounds, welcoming different perspectives to reach better outcomes faster.

Communicate options, trade-offs and risks clearly to stakeholders, escalating early with recommendations—not surprises.

Operational Effectiveness and Control

Build and operate capabilities using disciplined engineering, proportionate controls and measurable evaluation. Agree production ownership, support, monitoring, incident response, change, rollback and decommissioning arrangements before release. Monitor quality, safety, performance, cost and control effectiveness in production, with clear thresholds for intervention or suspension.

Management of Risk

For each deployment, assess and document operational, conduct, data, model, cybersecurity and financial crime risks. Agree named owners, required evidence, approvals, human-review points, monitoring thresholds and rollback or suspension criteria with Technology and control functions. Ensure solutions follow approved architecture, engineering and governance standards, address audit or regulatory findings promptly, and continue to support fair, explainable and well-evidenced customer outcomes.

Requirements

Strong hands-on engineering capability in Python and PyTorch or an equivalent machine-learning framework, with experience building and operating production AI services. Practical expertise in LLMs, prompt engineering, retrieval-augmented generation, vector databases, API integration, evaluation, fine-tuning, cloud technologies and LLMOps, supported by secure design, automated testing, deployment automation and observability.

Proven experience taking AI capabilities from user discovery and rapid prototyping through production hardening, controlled release, operational acceptance, adoption and measurable benefits. This includes enterprise integration, data and knowledge pipelines, production monitoring, incident response, resilience, controlled change and transfer or retirement of service ownership.

Strong understanding of financial crime investigation workflows, evidence and case-management practices, combined with the ability to shape use cases, acceptance criteria and measurable outcomes with business stakeholders. Able to lead multidisciplinary delivery through expertise and influence, communicate technical options and risks clearly, challenge premature deployment, and resolve competing delivery, operational and control priorities.

Desirable: Experience includes agentic AI systems, model or platform vendor evaluation, latency and cost optimisation, reusable engineering accelerators, embedded product-delivery models, and integration with Spring Boot or React applications. Deep implementation expertise in Spring Boot or React is not required.

Candidate with less relevant experience or skills may be offered a lower Global Carrer 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.

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