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Data Scientist / Business Analytics Strategist - Leading Financial Institution

Data Engineering and Analytics, BA/PM/QA

21 March 2024

Hong Kong

Our client is a leading global financial institution with a strong legacy of providing wealth management and banking services. They are seeking a talented and experienced Data Scientist / Business Analytics Strategist where the selected candidate will be responsible for leveraging advanced analytics and data-driven insights to drive strategic decision-making and improve business outcomes. The ideal candidate will possess a strong background in data science, statistics, and business analysis, with the ability to translate complex datasets into actionable insights.


Key Responsibilities:

  • Develop and implement data-driven strategies to optimize business processes and drive growth in wealth management and banking services.

  • Utilize advanced statistical and machine learning techniques to analyze large datasets and uncover meaningful trends and insights.

  • Collaborate with cross-functional teams to identify key business questions and opportunities for analysis.

  • Design and build predictive models to support investment decision-making, risk management, and client engagement initiatives.

  • Communicate findings and recommendations to senior leadership clearly and concisely, utilizing data visualization tools and presentations.

  • Lead initiatives to improve data quality, data governance, and data integration across various systems and platforms.

  • Stay current on industry trends and best practices in data science and business analytics, and apply innovative solutions to drive competitive advantage.



  • Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or related disciplines. An advanced degree is (Master's or Ph.D.) preferred.

  • Minimum of 5 years of experience in data science, business analytics, or a related field within the financial services industry.

  • Proficiency in programming languages such as Python, R, or SQL, and experience working with data visualization tools (e.g., Tableau, Power BI).

  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

  • Excellent communication and presentation skills, with a proven track record of delivering impactful recommendations to senior stakeholders.

  • Experience with cloud computing platforms (e.g., AWS, Azure) and big data technologies is a plus. Snowflake is an advantage


If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Danny Kwan at and put Data Scientist / Business Analytics Strategist - Leading Financial Institution in the subject header.


Data provided is for recruitment purposes only.

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