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Data Scientist (Private Wealth Management)- 50-65k

Kowloon Temporary HK$50,000 - HK$65,000 per month (HK$600,000 - HK$780,000 per year) View Job Description
The role focuses on delivering data‑driven insights for the Private Wealth Management business by leveraging advanced analytics, AI, and scalable visualization tools. It requires partnering with stakeholders to translate data into strategic recommendations while building robust, governed, and cloud‑ready analytical solutions.
  • Drive high‑impact analytics projects shaping wealth management strategy.
  • Work with advanced AI and cloud technologies in real business cases.

About Our Client

Our client is a large organization operating within the Financial Services industry. They are known for their commitment to innovation and excellence, with a strong focus on leveraging technology to enhance private wealth management solutions.

Job Description

  • Contribute to the formulation and execution of the analytics roadmap for the Asset & Wealth Management (AWM) business.
  • Utilize Big Data techniques, machine learning, AI methodologies, and other analytical approaches (as applicable) to uncover meaningful insights-ranging from early fraud detection and AML risk indicators to marketing optimization and revenue‑driven initiatives.
  • Engage with internal stakeholders to understand business challenges and proactively identify data‑driven opportunities.
  • Develop and test rapid prototypes to demonstrate value through proof‑of‑concept models, followed by production‑level scaling for operational use.
  • Design and maintain advanced, scalable BI dashboards and data visualization frameworks that will support the business as its data footprint expands.
  • Ensure analytics and data‑mining work is grounded in trusted, purpose‑built datasets with proper access controls; collaborate closely with data management teams to support the build‑out of strategic, cloud‑ready data platforms.

The Successful Applicant

  • Bachelor's or Master's degree in Computer Science, Finance, Business Analytics, or another relevant discipline.
  • 3-5 years of hands‑on experience developing analytics models within the Private Wealth Management space is strongly preferred.
  • A self‑motivated, entrepreneurial thinker with a strong passion for data exploration and problem‑solving.
  • Demonstrated ability to independently generate insights and translate them into strategic business recommendations.
  • Practical experience in data analytics and exposure to data engineering tasks.
  • Strong presentation and communication skills, with the ability to distill complex concepts into clear and compelling insights for senior leaders.
  • Proficiency with data visualization tools-Power BI expertise is highly desirable.
  • Strong data manipulation and querying capabilities across a variety of platforms and structured/unstructured data sources.
  • Familiarity with cloud‑based technologies such as Snowflake is an advantage.
  • Effective multitasking skills and ability to perform well in a fast‑moving environment.
  • Prior experience or understanding of the private wealth management industry is preferred.
  • Strong technical foundation in NLP, Transformer models, LSTM, K‑Means, Random Forest/Isolation Forest, Gradient Boosting, SQL, machine learning, and Python.

What's on Offer

  • Competitive monthly salary and benefits package.
  • Exposure to cutting-edge technologies in the Financial Services industry.
  • Supportive and professional work environment in Kowloon.



This is an exciting opportunity for a motivated Data Scientist to contribute to technological advancements in wealth management. Apply now to join a forward-thinking team in Kowloon!

Contact
Lewis Liu
Quote job ref
JN-022026-6939959
Phone number
+85225306126

Job summary

Function
IT
Specialisation
IT Data Analysis
What is your area of specialisation?
Financial Services
Location
Kowloon
Job Type:
Temporary
Consultant name
Lewis Liu
Consultant phone
+85225306126
Job Reference
JN-022026-6939959

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.