VP, Data Scientist, Group Finance VP, Data Scientist, Group Finance …

DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
VP, Data Scientist, Group Finance
Business Function
Group Finance aims to deliver world-class standards in reporting, financial planning and finance processes. We provide insights and analyses that help the bank make sound business decisions - whether in the areas of product development or customer profitability. We also provide capital management, business planning, forecasting, and tax and accounting advisory services.
The bank is also a certified Accredited Training Organisation (ATO) for the Singapore Qualification Programme by the Singapore Accountancy Commission and an Association of Chartered Certified Accountants (ACCA) Approved Employer.
Responsibilities
  • To research, develop, and operationalise algorithms/models to address specific business problems around the areas of Portfolio Management & Balance Sheet Management
  • To understand business requirements from users and develop solutions to address their problems, specifically the experimentation and in-depth study of various algorithms and machine learning models.
  • To work closely with business leads to identify opportunities for collaboration and exploration of advanced models in the field of A.I and Deep Learning, such reinforcement learning algorithms and generative models.
  • To operationalize model pipelines into re-usable libraries for the team
  • To automate models by leveraging on existing tools and frameworks
Requirements
  • Individual with a strong interest and natural curiosity in exploring various technical domains in the areas of analytics and machine learning.
  • 8-10 years of experience in applied statistical learning, machine learning and data science with tangible outcomes.
  • In-depth knowledge and hands-on experience in deep learning with tangible outcomes.
  • Deep understanding of statistics, math and optimisation theory.
  • Excellent written and communication skills, especially one who can explain how machine learning models and statistical learning algorithms are applied.
  • A keen learner who desires to learn and acquire new knowledge both in business and technical domains, as well as to acquire proficiency in new tools, languages and techniques.
  • A strong team player who can contribute as an individual
  • Extremely proficient in software development, with in-depth knowledge of TensorFlow, PyTorch, Keras, PySpark as well as big-data tools such as Spark, Hive & Alluxio.
  • Master's or Ph.D in Computer Science, Statistics, Math, Engineering or other quantitative disciplines
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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