Data Scientist

2 months ago

Hong Kong, Central and Western District, Hong Kong SAR China DBS Bank (Hong Kong) Limited Full time
Job Summary

As a Data Scientist - Risk Analytics at DBS Bank (Hong Kong) Limited, you will play a key role in helping the Board and Executive Management meet the strategic and operational objectives of the Group. You will conduct independent reviews to ensure that the Group's risk and control processes are adequate and effective. Your team members are highly sought-after professionals who work as trusted advisors to our stakeholders, in all matters related to the company's internal controls.

Key Responsibilities
  • Partner with audit specialists across banking functions/locations to assess business needs and identify opportunities to apply data analytics for developing tools/programs for audit purposes.
  • Explore existing data sources and conduct exploratory data analysis. Identify data relevant to the problems to solve. Create features to make them valuable for analytics.
  • Collaborate with other data scientists and tech teams to develop data science solutions, ranging from on-demand queries to machine learning models, for early risk identification and expanding risk sensing coverage.
  • Maintenance of the platform/data refresh for existing data analytics tools in use by our partners to ensure smooth data flow and process, including monitoring data quality and lineage and timely escalating system issues identified.
  • Develop visualization tools and other reporting dashboards to humanize the experience for reporting to Audit Committee/Senior Management.
  • Conduct presentations to our partners and management on the development of the tool as well as provide training, demo, and support to users if needed.

Requirements
  • Degree in Computer Science, Mathematics, Statistics, Information Engineering, or related disciplines.
  • Related accreditation obtained via MOOC or other education institutions is a plus.
  • Minimum 5 years of experience in data analytics (with 2+ years of experience in data science/data engineering as a plus).
    • Solid experience in building and maintaining data transformation pipelines and visualization dashboards for analytics. Strong SQL and Python programming skills on handling large volumes of data.
    • Experience in big data technologies/tools such as Data Lake and Spark is a plus.
    • Knowledge of cloud-based platforms is a plus. Understanding of model development concepts and AI, including GenAI, is a plus.
  • Experience in banking data is a plus but not a must.
  • Work well in a collaborative environment and good communication skills.
  • Passionate in new technologies and eager to learn attitude.
  • Proficient in English and Chinese.
  • Candidates with less experience will be considered as Senior Associate.

What We Offer
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements. We regret only shortlisted candidates will be notified.

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