# Associate Director, Software Engineering Specialist

**Company**: GCIO
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612436501?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_558646fe-d8c

## Description

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Principal responsibilities:

- Support the design and delivery of a prevention-first, intelligence-led Financial Crime technology architecture.

- Take an end-to-end view across Financial Crime journeys, including prevention, detection, decisioning, alerting, investigation, regulatory reporting, data, and feedback loops.

- Translate business needs into clear, practical technology solutions and phased delivery plans.

- Help modernise legacy applications into cloud-hosted, API-driven, event-enabled, and data-led platforms.

- Identify and shape appropriate AI/ML use cases, such as intelligent triage, real-time risk assessment, decision support, search, summarisation, workflow automation, and operational insights.

- Assess AI/ML opportunities based on business value, user need, data readiness, technical feasibility, control effectiveness, explainability, operational adoption, and governance.

- Encourage reusable capabilities, common integration patterns, and real-time data services that can be used across Financial Crime domains.

- Work with engineering, architecture, security, data, infrastructure, and operations teams to ensure solutions are secure, resilient, scalable, and supportable.

- Drive good engineering practices across architecture, delivery quality, CI/CD, testing, observability, automation, release controls, and production readiness.

- Provide technical challenge and support to delivery teams, helping resolve blockers and maintain momentum.

- Coach engineers and technical leads, raising capability in modern engineering, cloud, data, DevOps, and AI-assisted delivery.

- Build strong working relationships across global teams and help align stakeholders around delivery priorities and architecture decisions.

Requirements:

- Broad technical understanding across modern application architecture, APIs, microservices, event-driven integration, cloud platforms, data, DevOps, security, and automation.

- Ability to engage credibly with engineers and architects, review solution designs, identify risks, and challenge technical decisions constructively.

- Experience contributing to technology modernisation, cloud migration, application integration, or platform transformation initiatives.

- Working understanding of data platforms, data quality, real-time and batch integration, and how data supports decisioning and analytics.

- Familiarity with CI/CD, containerisation, Kubernetes, infrastructure automation, observability, and secure software delivery practices.

- Awareness of AI/ML solution patterns, including machine learning, LLM-based applications, RAG, agentic workflows, and AI-assisted engineering.

- Understanding of the principles behind MLOps or LLMOps, including controlled deployment, monitoring, governance, and operational support.

- Experience in Agile delivery environments, with exposure to tools such as Jira, Confluence, GitHub, Jenkins, Terraform, or equivalent.

Business and Financial Crime acumen:

- Ability to connect technology choices to business value, customer outcomes, operational efficiency, and control effectiveness.

- Good understanding of Financial Crime, fraud, risk, compliance, or regulated operational environments.

- Experience in banking is preferred.

- Ability to think across an end-to-end business journey rather than focus only on a single application or process step.

- Curiosity about how AI/ML, data, and automation can improve Financial Crime outcomes in a responsible and practical way.

- Ability to balance innovation with security, governance, resilience, delivery feasibility, and operational sustainability.

Leadership and collaboration:

- Demonstrated ability to drive change in a complex organisation, influence stakeholders, and turn strategic direction into practical delivery.

- Strong communication skills, able to explain complex technology and AI/ML concepts clearly to technical and non-technical audiences.

- Collaborative and pragmatic approach, with the confidence to challenge constructively and align teams around decisions.

- Strong ownership mindset: proactive, delivery-focused, and accountable for outcomes.

- Ability to work effectively across global, multicultural, and matrixed teams.

- Interest in mentoring others and helping build sustainable engineering and technology capability.

## Skills

### Required
- modern application architecture
- APIs
- microservices
- event-driven integration
- cloud platforms
- data
- DevOps
- security
- automation
- AI/ML
- machine learning
- LLM-based applications
- CI/CD
- containerisation
- Kubernetes
- infrastructure automation
- observability
- secure software delivery practices

### Nice to have
- banking
- Financial Crime
- fraud
- risk
- compliance
- regulated operational environments

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612436501?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)