Consultant Specialist

• Reporting to the Head of Data Science, and assisting the Head of Data and Analytics of Hang Seng to lead and support a data-driven strategy in the Bank, and have direct accountability of the bank’s data science
• Collaboration with Global Businesses and Global Functions to understand the bank's needs of data analytics and machine learning models
• Expertise in data science, modelling and programing to support the banks analytic capacity
• Take ownership of know-how and be the bank's consultancy, advise the bank’s analytic teams, and assist them to obtain the intelligence to be acquired
• Advise the best data science solutions - from data source, analysis, predictive modeling, advanced analytics, insights to users
• Work in partnership with IT on cloud management and utilize the cloud tools to better serve the analytics and model building
• Take initiative to identify best practices, industry norms etc on the evolution of business analytics
• Assist to build the target supporting model for data analytics

• Passion in Data Science
• University degree in related disciplines, including Mathematics, Statistics, Computer Science, Quant Finance, and Actuarial Science
• 5+ years’ professional experience in data analytics, data science, machine learning, and AI, including at 2+ years in management or coaching
• Strong in open-source data science programming: R / Python / or equivalent
• Good in data source technology: Structured DB / SQL / GCP BigQuery / Web scraping / API
• Well-known in data science topics: time series / NLP / CV / Recommender / Outlier Detections
• Good in machine learning programming framework: sklearn / xgboost / keras / tensorflow / pytorch / or equivalent
• Strong in visual analytics: Especially Tableau, or Qilkview / PowerBI / Alteryx
• Good in data project management, stakeholder management, data science project lifecycle
• Knowledge in DataOps / MLOps / AIOps / Google Cloud is a plus
• Attention to detail combined with a strong delivery focus and ability to meet aggressive timeframes with quality results
• Proven track record interpreting and promoting data science knowledge and data driven cultures in a complex organizational environment
• Proficient in Cantonese, English, and Mandarin

Knowledge in DataOps / MLOps / AIOps / Google Cloud

• Continuous professional development
• Flexible working
• Opportunities to grow within an inclusive and diverse environment