• 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!