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Associate Director, Technology Management

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

Associate Director, Technology Management

at HSBC

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
China

Senior role within HSBC's Emerging Technology team to translate business problems into practical, scalable AI/ML solutions, partner with data scientists and engineers, and support model governance and risk controls. The role focuses on driving AI-enabled process improvements, stakeholder engagement, and safe production deployment of models in a regulated financial services environment.

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, Technology Management.

Business: Emerging Technology

Principal responsibilities

1. Business Integration:

  • Collaborate with business units to identify and shape AI/ML-enabled opportunities that enhance operational efficiency and innovation.

  • Support the implementation of AI-driven process improvements within key business areas.

2. Technology Translation:

  • Work with stakeholders to translate business challenges into viable AI/ML use cases.

  • Ensure solutions are practical, scalable, and aligned with current technological advancements.

3. Solution Development & Testing:

  • Partner with data scientists, engineers, and product owners to develop, test, and validate AI/ML models and applications.

  • Evaluate internal processes and data to identify areas where AI can deliver measurable improvements.

4. Governance & Risk Management:

  • Assist in the prioritisation and submission of AI models and solutions through internal governance processes.

  • Ensure solutions adhere to ethical, regulatory, and operational risk standards.

5. Scalable Delivery:

  • Contribute to the design of safe, sustainable, and scalable deployment of AI/ML capabilities within production environments.

  • Focus on control frameworks and long-term maintenance.

6. Stakeholder Engagement:

  • Engage with stakeholders across technology, risk, compliance, operations, and business lines to build understanding and secure necessary approvals.

  • Support and report on the implementation of AI initiatives.

Thought Leadership:

  • Stay informed on AI/ML trends, regulatory developments, and best practices in AI deployment within financial services.

  • Share insights and knowledge to foster a culture of continuous learning and innovation.

Qualifications - External

Requirements:

  • Experience and Knowledge: o Several years of experience in AI/ML solution delivery or product development, preferably within regulated industries.

  • Experience in financial services, consulting, or technology with a focus on innovation or transformation. o Solid understanding of financial services processes and operational challenges.

Technical Understanding:

  • Good knowledge of the AI/ML ecosystem, including advancements in foundation models, generative AI, NLP, and traditional ML.

  • Familiarity with the model development lifecycle, MLOps, data governance, and responsible AI principles.

Business Acumen:

  • Ability to identify impactful use cases and align AI solutions with business strategy and KPIs.

Governance & Risk Awareness:

  • Experience navigating model governance, risk, and compliance processes in a banking context.

Soft Skills:

  • Strong communication, stakeholder management, and influencing skills.

  • Adaptable, pragmatic, and delivery-focused mindset.

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***

Associate Director, Technology Management

at HSBC

Back to all Data Science / AI / ML jobs
HSBC logo
Investment Banking

Associate Director, Technology Management

at HSBC

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
China

Senior role within HSBC's Emerging Technology team to translate business problems into practical, scalable AI/ML solutions, partner with data scientists and engineers, and support model governance and risk controls. The role focuses on driving AI-enabled process improvements, stakeholder engagement, and safe production deployment of models in a regulated financial services environment.

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, Technology Management.

Business: Emerging Technology

Principal responsibilities

1. Business Integration:

  • Collaborate with business units to identify and shape AI/ML-enabled opportunities that enhance operational efficiency and innovation.

  • Support the implementation of AI-driven process improvements within key business areas.

2. Technology Translation:

  • Work with stakeholders to translate business challenges into viable AI/ML use cases.

  • Ensure solutions are practical, scalable, and aligned with current technological advancements.

3. Solution Development & Testing:

  • Partner with data scientists, engineers, and product owners to develop, test, and validate AI/ML models and applications.

  • Evaluate internal processes and data to identify areas where AI can deliver measurable improvements.

4. Governance & Risk Management:

  • Assist in the prioritisation and submission of AI models and solutions through internal governance processes.

  • Ensure solutions adhere to ethical, regulatory, and operational risk standards.

5. Scalable Delivery:

  • Contribute to the design of safe, sustainable, and scalable deployment of AI/ML capabilities within production environments.

  • Focus on control frameworks and long-term maintenance.

6. Stakeholder Engagement:

  • Engage with stakeholders across technology, risk, compliance, operations, and business lines to build understanding and secure necessary approvals.

  • Support and report on the implementation of AI initiatives.

Thought Leadership:

  • Stay informed on AI/ML trends, regulatory developments, and best practices in AI deployment within financial services.

  • Share insights and knowledge to foster a culture of continuous learning and innovation.

Qualifications - External

Requirements:

  • Experience and Knowledge: o Several years of experience in AI/ML solution delivery or product development, preferably within regulated industries.

  • Experience in financial services, consulting, or technology with a focus on innovation or transformation. o Solid understanding of financial services processes and operational challenges.

Technical Understanding:

  • Good knowledge of the AI/ML ecosystem, including advancements in foundation models, generative AI, NLP, and traditional ML.

  • Familiarity with the model development lifecycle, MLOps, data governance, and responsible AI principles.

Business Acumen:

  • Ability to identify impactful use cases and align AI solutions with business strategy and KPIs.

Governance & Risk Awareness:

  • Experience navigating model governance, risk, and compliance processes in a banking context.

Soft Skills:

  • Strong communication, stakeholder management, and influencing skills.

  • Adaptable, pragmatic, and delivery-focused mindset.

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***

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