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

Singapore, Singapore | DBS Bank

  • Industry:
    Banking / Investment Banking
  • Position Type:
  • Functions:
    Financial Services Professional
    IT / Information Technology
  • Experience:
    3-5 years
Job Description:
132 people have viewed this job

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.


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


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.

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