AI & Advanced Data Analytics, Lead - Financial Services

KOS International Limited; Hong Kong Island; Vor Ort; HKD 1.800.000 - 2.400.000; Vollzeit

Zusammenfassung

KOS International Limited is advising a client in the financial services sector to appoint a senior leader for AI & Advanced Data Analytics. The Lead will drive end-to-end AI product development, oversee strategy, solution engineering and adoption across the organization, and partner with senior AI leadership to deliver measurable business value.

The role requires 10+ years of hands-on ML/AI experience, strong leadership, and fluency in English and Chinese to align stakeholders and build

Qualifikationen

• Degree in Math, Statistics, Computer Science, Engineering or related disciplines.
• 10+ years of hands-on experience in end-to-end development of ML/AI products.
• Strong leadership and people-management experience.
• Hands-on leader with organization skills, attention to detail and communication skills.
• Experience in predictive analytics, machine learning, optimization and agile product development.
• Experience with Generative AI, Large Language Models, Retrieval-Augmented Generation.
• Proficiency in English and Chinese.

Aufgaben

• Guide multidisciplinary teams and translate priorities into delivery plans.
• Shape strategy, solution engineering and AI product development with focus on business value.
• Align stakeholders around high-impact initiatives and ensure adoption and reliable operations.
• Oversee end-to-end development journey from problem definition to deployment and improvement.
• Advise senior stakeholders on AI investments and use-case value.

Kenntnisse

Leadership

People management

Communication skills

English & Chinese fluency

Predictive analytics

Machine learning

AI product development

Ausbildung

Degree in Math/Statistics/CS/Engineering

Jobbeschreibung

AI & Advanced Data Analytics, Lead - Financial Services

Our client is seeking a senior leader to turn data science and AI capabilities into practical, measurable business outcomes. This is an opportunity to shape how an established financial services business develops, deploys and scales AI, bringing together advanced analytics, machine learning and generative AI.

About the Role

Working with the organisation's senior AI leadership, you will guide multidisciplinary teams and help translate enterprise transformation priorities into a focused delivery agenda. Your remit will span strategy, solution engineering and AI product development, with an emphasis on business adoption, reliable operations and responsible delivery. Translate business priorities into a practical roadmap for data science, advanced analytics and AI. Align stakeholders around the initiatives with the strongest potential to create impact. Bring together specialists across data science, machine learning, analytics and AI product development. Set clear expectations, strengthen collaboration and build a culture focused on delivery and business value. Oversee the full development journey, from problem definition and model experimentation through evaluation, deployment and ongoing improvement. Lastly, guide the development of enterprise AI products with clear ownership, lifecycle management and a focus on adoption, performance and evolving business needs. Lastly, become a trusted adviser to senior stakeholders, helping them identify relevant use cases, understand delivery trade-offs and evaluate the value of AI investments.

The successful candidate

• Degree in Math, Statistics, Computer Science, Engineering or other closely related disciplines preferred
• At least 10+ years of hands‑on experience in end-to-end development of machine learning and artificial intelligence (A.I.) products and services required
• High level leadership skills and prior experience of managing the creation and deployment of Machine Learning solutions
• A hands‑on leader who has excelled at building teams who have strong organization skills, attention to detail, tenacity for success, and excellent communication skills
• Strong experience in predictive analytics, machine learning, optimization, and agile product development
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging AI technologies
• Good command in English and Chinese