Asia Wealth Management - Data Scientist, Associate, Hong Kong

available) to flesh out deep business insights, across fraud analytics for both early risk indication and AML detection themes as well as marketing and revenue generation initiatives.

• Engage and understand business and stakeholder needs and proactively propose data driven solutions.

• Innovate and build quick prototypes to display value as proof of concepts and then scale to production for business to execute for decision making.

• Develop advanced and scalable data visualization / BI reporting framework as the business grows its footprint and data becomes more central to its evolution.

• Ensure that all Data analytics and mining activities use trusted data that is fit for purpose and is contained to relevant parties only i.e. a strong ongoing conviction in Data Governance Partner with data management team as a trusted partner, aiding in the strategic (cloud-based) data repository development.

Required Experience

• A candidate with a Bachelor's/master's in computer science, finance, business analytics

• 3-5 years' experience in building data analytics models within the Private Wealth Management domain is preferrable.

• Entrepreneurial/creative self-starter mindset, along with a passion for data inquisition is key to succeeding in this role.

• Able to build insights based on the data to drive business strategies in an independent manner.

• Proven experience with hands on data analytics and some exposure to data engineering work

• Able to present and articulate clear "easy-to-understand" insights for senior stakeholders.

• Experience with data visualization packages - especially Power BI

• Possess a strong ability to query and manipulate data sets across multiple platforms and sources (across structured and unstructured data forms)

• Knowledge of cloud-based technologies Snowflake is an advantage.

• Strong communicator, with clear articulation of analytical findings through presentations to propose evidenced-based conclusions and actionable insights.

• Ability to multi-task and works efficiently in fast-paced environment

• Experience or awareness in the private wealth management industry is desired

• Strong knowledge of NLP, Transformer models, LSTM, K-Means, Random/Isolation Forest, Gradient Boosting models. SQL, ML, Python

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

We're committed to bringing passion and customer focus to the business.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.