What Deep Learning Jobs are in Hong Kong?
Showing 3 Deep Learning jobs in Hong Kong
Job Description
The **Lead Data Scientist - Underwriting** is a senior leadership role responsible for driving **regional and BU-level AI, ML, and Generative AI solutions** to transform underwriting decision-making across Asia. This role combines **deep technical expertise, people leadership, and strong business partnership** to deliver scalable, compliant, and value-generating underwriting capabilities.
You will **lead and grow a team of data scientists** focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the **Chief AI Officer** in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.
**Position Responsibilities:**
**Technical & Business Leadership**
+ Lead the **design, development, and deployment** of AI, ML, and **Generative AI** solutions supporting underwriting use cases, including:
+ Underwriting summarization and document intelligence
+ Risk assessment and decision support
+ Straight-through processing (STP) and workflow automation
+ Data-driven underwriting rules optimization
+ Translate complex underwriting and business problems into **scalable analytical and GenAI solutions** with measurable business outcomes.
+ Drive adoption of AI solutions by embedding them into **end-to-end underwriting workflows** , ensuring usability, governance, and regulatory compliance.
+ Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.
+ **Lead, coach, and develop a high-performing team of data scientists** focused on underwriting AI and analytics.
**Generative AI & Advanced Analytics**
+ Lead the application of **AI and especially GenAI** in underwriting, including:
+ Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)
+ Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks
+ Model orchestration, guardrails, and human-in-the-loop designs
+ Ensure AI solutions are **responsible, explainable, auditable, and compliant** with internal AI governance and regulatory expectations.
+ Establish standards for **model lifecycle management** , performance monitoring, and value tracking for AI and GenAI solutions.
**Strategy, Governance & Stakeholder Management**
+ Contribute to **AI and data strategy** , focusing on data optimization, monetization, and external data enrichment.
+ Collaborate with global and regional teams to define **common modeling standards, governance, and reusable AI assets** , aligned with AI CoE guidelines.
+ Maintain a regional/global **model repository** to track models in use, performance, and risks.
+ Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.
+ Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.
**Required Qualifications:**
+ 10+ years of experience in **AI, machine learning, or advanced analytics** , preferably within financial services.
+ Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).
+ Proven experience leading complex analytics initiatives in **highly regulated environments** .
**Technical & GenAI Skills**
+ Strong hands-on expertise in **ML/statistical modeling** , segmentation, and underwriting or claims analytics.
+ Advanced proficiency in **Python, SQL** , and common data science toolchains (R, SAS a plus).
+ Practical experience with **Generative AI** , including:
+ Large Language Models (LLMs)
+ Prompt engineering and RAG architectures
+ Model evaluation, bias mitigation, and explainability
+ AI governance and responsible AI practices
+ Experience with **cloud and big data platforms** (e.g., Azure, Spark, Databricks, Hadoop).
+ Strong understanding of deploying models into production, including monitoring and lifecycle management.
**Leadership & Communication**
+ Demonstrated ability to **lead and scale teams** , mentor data scientists, and manage ambiguity.
+ Strong stakeholder management skills with the ability to influence senior leaders across regions.
+ Excellent communication and presentation skills, translating technical concepts into business language.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。
**Working Arrangement**
ハイブリッド勤務
You will **lead and grow a team of data scientists** focused on underwriting AI, while also acting as a hands-on technical leader shaping advanced predictive, prescriptive, and generative solutions. The role partners closely with underwriting, risk, technology, and regional stakeholders, and supports the **Chief AI Officer** in delivering the Asia AI Value agenda and building world-class, revenue-generating analytics.
**Position Responsibilities:**
**Technical & Business Leadership**
+ Lead the **design, development, and deployment** of AI, ML, and **Generative AI** solutions supporting underwriting use cases, including:
+ Underwriting summarization and document intelligence
+ Risk assessment and decision support
+ Straight-through processing (STP) and workflow automation
+ Data-driven underwriting rules optimization
+ Translate complex underwriting and business problems into **scalable analytical and GenAI solutions** with measurable business outcomes.
+ Drive adoption of AI solutions by embedding them into **end-to-end underwriting workflows** , ensuring usability, governance, and regulatory compliance.
+ Partner with reinsurers, vendors, and external technology providers to co-develop or integrate advanced underwriting solutions.
+ **Lead, coach, and develop a high-performing team of data scientists** focused on underwriting AI and analytics.
**Generative AI & Advanced Analytics**
+ Lead the application of **AI and especially GenAI** in underwriting, including:
+ Large Language Models (LLMs) for text-heavy underwriting data (e.g., medical reports, financial statements, applications)
+ Prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks
+ Model orchestration, guardrails, and human-in-the-loop designs
+ Ensure AI solutions are **responsible, explainable, auditable, and compliant** with internal AI governance and regulatory expectations.
+ Establish standards for **model lifecycle management** , performance monitoring, and value tracking for AI and GenAI solutions.
**Strategy, Governance & Stakeholder Management**
+ Contribute to **AI and data strategy** , focusing on data optimization, monetization, and external data enrichment.
+ Collaborate with global and regional teams to define **common modeling standards, governance, and reusable AI assets** , aligned with AI CoE guidelines.
+ Maintain a regional/global **model repository** to track models in use, performance, and risks.
+ Act as a trusted advisor to underwriting and business leaders, influencing prioritization and investment decisions.
+ Proactively identify risks, data challenges, and stakeholder conflicts, and drive alignment and mitigation plans.
**Required Qualifications:**
+ 10+ years of experience in **AI, machine learning, or advanced analytics** , preferably within financial services.
+ Strong underwriting, insurance, or reinsurance domain knowledge (highly preferred).
+ Proven experience leading complex analytics initiatives in **highly regulated environments** .
**Technical & GenAI Skills**
+ Strong hands-on expertise in **ML/statistical modeling** , segmentation, and underwriting or claims analytics.
+ Advanced proficiency in **Python, SQL** , and common data science toolchains (R, SAS a plus).
+ Practical experience with **Generative AI** , including:
+ Large Language Models (LLMs)
+ Prompt engineering and RAG architectures
+ Model evaluation, bias mitigation, and explainability
+ AI governance and responsible AI practices
+ Experience with **cloud and big data platforms** (e.g., Azure, Spark, Databricks, Hadoop).
+ Strong understanding of deploying models into production, including monitoring and lifecycle management.
**Leadership & Communication**
+ Demonstrated ability to **lead and scale teams** , mentor data scientists, and manage ambiguity.
+ Strong stakeholder management skills with the ability to influence senior leaders across regions.
+ Excellent communication and presentation skills, translating technical concepts into business language.
**When you join our team:**
+ **We'll empower you to learn and grow the career you want.**
+ **We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.**
+ **As part of our global team, we'll support you in shaping the future you want to see.**
**マニュライフとジョン・ハンコックについて**
マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 lをご覧ください。
**マニュライフは機会均等を是とする雇用主です**
マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。
雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。
**Working Arrangement**
ハイブリッド勤務
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Job Description
Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for AI/ML and Generative AI solutions:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? - Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- Experience with the AWS platform, web services, software development, or related technologie
- AWS Professional level certification, or 1+ years of technical specialist, design and architecture experience
- Experience coding, scripting, automating in at least one language (e.g., Python, C, C++, Java, Ruby, or PowerShell)
- Knowledge of compliance and security standards across the enterprise IT landscape
- Experience communicating technical concepts to non-technical audiences, or experience in similar environments
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for AI/ML and Generative AI solutions:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? - Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- 3+ years of cloud architecture and solution implementation experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- Experience with the AWS platform, web services, software development, or related technologie
- AWS Professional level certification, or 1+ years of technical specialist, design and architecture experience
- Experience coding, scripting, automating in at least one language (e.g., Python, C, C++, Java, Ruby, or PowerShell)
- Knowledge of compliance and security standards across the enterprise IT landscape
- Experience communicating technical concepts to non-technical audiences, or experience in similar environments
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
1
AI ML Design Commercialization Manager - International Wealth and Premier Banking
Central
HSBC
Posted 16 days ago
Job Viewed
Job Description
AI ML Design Commercialization Manager - International Wealth and Premier Banking
Location:
Central, Hong Kong Island, HK
Brand: HSBC
Area of Interest: Branch and Retail Banking
Closing Date: Hybrid Worker
Date: 2 Jul 2026
**Job description**
**GCB 4**
We are currently seeking a high calibre professional to join our team as an **AI ML Design Commercialization Manager.**
**In this role you will:**
+ Define, own, and execute a multi-year AI product vision and roadmap specifically for HSBC Wealth & Personal Banking, aligning it with global business objectives for hyper-personalization and operational cost reduction.
+ Identify and prioritize high-impact AI-native and AI-augmented opportunities, including those leveraging Generative AI, across the entire customer lifecycle (acquisition, onboarding, engagement, retention) and internal operational workflows (e.g., servicing, compliance, risk management).
+ Conduct thorough market research, competitive analysis, and customer needs assessments to identify emerging AI trends and translate them into actionable product strategies.
+ Develop compelling business cases for AI product initiatives, including detailed financial projections, return on investment (ROI) analysis, and risk assessments.
**To be successful you will need:**
+ Minimum 12 years of hands-on analytics experience solving complex business problems using data
+ Strong analytical skills with business analysis experience or equivalent.
+ In-depth knowledge and understanding of wealth management and banking operations is a must
+ Deep knowledge and commensurate experience with AI/ML concepts, techniques and tools including Gen AI as well as strong understanding of AI Capability developments across the industry
+ Innovative - the ability to approach things differently or do different things to deliver goals.
+ Proven leadership track record in dynamic/changing banking environments and complex matrix structure
+ Good understanding of the competitor landscape and industry best practices
+ Ability to build strong relationships with stakeholders, both internally and externally
+ Exceptionally strong organizational, problem-solving & inter-personal skills. Ability to communicate clearly across all levels
+ An Entrepreneurial spirit/drive to execute quickly with the simultaneous ability to navigate through organizational complexities"
+ Strong communication skills for navigating through business requirements, ability to involve others in discussions of alternatives, asking for their suggestions and steering them to a mutually acceptable position
**Opening up a world of opportunity**
** 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.
Issued by The Hongkong and Shanghai Banking Corporation Limited.
Location:
Central, Hong Kong Island, HK
Brand: HSBC
Area of Interest: Branch and Retail Banking
Closing Date: Hybrid Worker
Date: 2 Jul 2026
**Job description**
**GCB 4**
We are currently seeking a high calibre professional to join our team as an **AI ML Design Commercialization Manager.**
**In this role you will:**
+ Define, own, and execute a multi-year AI product vision and roadmap specifically for HSBC Wealth & Personal Banking, aligning it with global business objectives for hyper-personalization and operational cost reduction.
+ Identify and prioritize high-impact AI-native and AI-augmented opportunities, including those leveraging Generative AI, across the entire customer lifecycle (acquisition, onboarding, engagement, retention) and internal operational workflows (e.g., servicing, compliance, risk management).
+ Conduct thorough market research, competitive analysis, and customer needs assessments to identify emerging AI trends and translate them into actionable product strategies.
+ Develop compelling business cases for AI product initiatives, including detailed financial projections, return on investment (ROI) analysis, and risk assessments.
**To be successful you will need:**
+ Minimum 12 years of hands-on analytics experience solving complex business problems using data
+ Strong analytical skills with business analysis experience or equivalent.
+ In-depth knowledge and understanding of wealth management and banking operations is a must
+ Deep knowledge and commensurate experience with AI/ML concepts, techniques and tools including Gen AI as well as strong understanding of AI Capability developments across the industry
+ Innovative - the ability to approach things differently or do different things to deliver goals.
+ Proven leadership track record in dynamic/changing banking environments and complex matrix structure
+ Good understanding of the competitor landscape and industry best practices
+ Ability to build strong relationships with stakeholders, both internally and externally
+ Exceptionally strong organizational, problem-solving & inter-personal skills. Ability to communicate clearly across all levels
+ An Entrepreneurial spirit/drive to execute quickly with the simultaneous ability to navigate through organizational complexities"
+ Strong communication skills for navigating through business requirements, ability to involve others in discussions of alternatives, asking for their suggestions and steering them to a mutually acceptable position
**Opening up a world of opportunity**
** 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.
Issued by The Hongkong and Shanghai Banking Corporation Limited.
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Apply Now
2