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Senior Data Scientist

1 week ago

Singapore DBS Bank Limited Full time
About Us

DBS Bank Limited is one of the largest banks in Southeast Asia. We offer a wide range of financial services to individuals, businesses, and institutional clients. Our vision is to become the world's best bank by providing exceptional customer experiences and driving innovation through technology.

What You'll Do
  • You will lead various data science and machine learning initiatives and projects in Group LCS, working closely with senior management, business users and technology partners.
  • You will conceptualise, plan, develop, and deliver relevant analytics models and innovative solutions in Financial Crime, Legal and Compliance, such as Anti-Money Laundering Networks, Transaction Monitoring, Fraud Prevention, Money Mule detection, and Sanctions Screening.
  • You will partner with domain experts and data scientists from cross-functional teams to drive projects.
  • You will condense analysis into actionable insights for informed decision-making, strategy development and formulation of standards to enhance business performance and operations at LCS.
  • You will ensure adherence to the bank's governance policy and best practices in AI/ML industrialisation, including but not limited to code review, creation and adoption of reusable assets, active adoption of bank's AI protocol, data governance, post-deployment monitoring, and regular technical / audit / business review of the solution.

Requirements
  • Degree with a strong focus in machine learning, data mining, or statistical / mathematical modelling with deep theoretical knowledge.
  • 8+ years of relevant working experience, preferably the most recent 5+ years were on hands-on development of data analytics or AI/ML solutions.
  • Familiar with analytics and machine learning platforms and how it integrates with upstream and downstream data and production systems.
  • Hands-on experience in end-to-end data science projects covering problem formulation, exploratory data analysis, ML modelling, production deployment, monitoring and production support.
  • Familiar with developing machine learning pipelines following dev practice such as versioning, branching, merging, linting, testing and writing codes in a structured and modularized way.
  • Able to analyse business needs, and articulate the solution framework, including the model output, business decision and potential impact to drive the adoption of the solution.
  • Comfortable working on complex problems, with experience delivering solutions that work under the business or technical constraints, using cutting-edge tools in an agile environment.
  • Good presentation and communication skills. Able to explain technical concepts and solutions to a non-technical audience.
  • Technical skills: Python, PySpark, SQL, libraries and tools for ML, data visualisation and dashboard, practical experience with cloud platforms.
  • An understanding of the legal and compliance issues of complex banking organisations will be a plus.