Associate Director, Software Engineering Specialist

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.

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

Business: GROUP FUNCTIONS TECHNOLOGY L3

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

Technology and solution capability

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.

You’ll achieve more when you join HSBC.

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

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.

***Issued By HSBC Software Development (GuangDong) Limited***