About Us:

At BOCHK, we are at the forefront of digital transformation in corporate banking. Our mission is to leverage innovative technologies and data driven insights to enhance our services, empower our employees and deliver exceptional value to our clients. We are seeking a talented Data Scientist to join our Digital Transformation Team.

Role Overview:

As a Data Scientist, you will play a crucial role in driving data initiatives that support our corporate banking business and operations. You will analyze complex datasets, develop predictive models, and collaborate with cross-functional teams to derive actionable insights that enhance decision-making processes, improve operational efficiency and provide better customer experiences.

Key Responsibilities:

• Data Analysis & Modeling: Analyze large datasets to identify trends, patterns, and insights. Develop predictive models with machine learning techniques and various algorithms to solve business problems
• Collaboration: Work closely with stakeholders across business units to understand their data needs and translate them into analytical solutions
• Data Visualization: Create compelling visualizations and dashboards to communicate findings and recommendations to both technical and non-technical audiences
• Research & Innovation: Stay updated with industry trends and emerging technologies to drive innovation within the team
• Documentation & Reporting: Document methodologies and results for Al governance purpose. Present reports on analytical findings, ensuring clarity and accessibility for all stakeholders
• Generative Al/LLM: Leverage generative Al models to automate processes and enhance operational efficiency

Qualifications:

• Education: Bachelor/Master degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
• Experience: 3+ years of experience in a data science role, preferably within the banking or financial services industry
• Technical Skills:
  • Proficiency in programming languages such as Python and SQL
  • Experience with data manipulation and analysis libraries (e.g., pandas, NumPy)
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn)
  • Experience with LLMs and NLP techniques for analyzing and generating text-based data
• Analytical Skills: Strong problem-solving skills and the ability to work with complex data sets
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders
• Team Player: Ability to work collaboratively in a fast-paced, dynamic environment

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