VP / AVP, Data Scientist, Investment and Trading Technology, Technology and Operations

  • Competitive
  • Singapore
  • Permanent, Full time
  • DBS Bank Limited
  • 20 Apr 19

VP / AVP, Data Scientist, Investment and Trading Technology, Technology and Operations


Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
Requirements
  • Excellent understanding of machine learning techniques and algorithms; pattern recognition and predictive modeling skills to address business problems
  • Undertaking data collection, preprocessing and analysis of structured and unstructured data
  • Experience with common data science toolkits, such as R, Python. Experience with programming languages such as Java an asset.
  • Proficiency in using query languages such as SQL, Hive, Pig. Being able to use Spark is an added advantage
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Communicate results and ideas to key decision makers
  • Experience with data visualization tools such as Qlik or any other open source visualization tools.
  • Good to have treasury & market product knowledge as well
  • Good applied statistics skills such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills
  • Data-oriented personality with problem-solving aptitude
  • Master's Degree in Computer Science, Statistics, Applied Math or related field
  • 4+ years of hands-on analytics and / or model development.

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.