Job ID
0000JQT3
Location
Mongkok, Hong Kong
Area of interest
Reporting and Analytics
Job type
Permanent - Full Time
Work style
Hybrid Working
Opening date
18-Dec-2023
Closing date
31-Jan-2024
Job Description
A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
Hang Seng Data and Analytics Office
The Data and Analytics Office of Hang Seng is an important function, whereby it drives the data strategy to ensure
• Data are managed and controlled
• data becomes a key asset to the bank
• the bank moves to a data driven organization
• regulatory demands on data are satisfied
The Data and Analytics Office of Hang Seng develops and executes Data and Record governance to improve the Bank’s data environment and maximising the value of data assets. The data analytics team is a transversal function that supports the bank's data analytics including data science, machine learning, and AI. Data Analytics would be the bridge between technology and business. Hang Seng’s strategy in building a data driven culture would be via heavy reliance on data analytics to enable key business decisions.
We are currently seeking a high caliber professional to join our department as Manager, Data Analytics.
Principal Responsibilities
• 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. This can be achieved through participating in industry forums, Fin-tech related seminars
• Assist to build the target supporting model for data analytics.
Requirements
• 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.
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