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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:
    Full-Time
  • Functions:
    Financial Services Professional
    IT / Information Technology
    Biotech/R&D/Science
  • Experience:
    3-5 years
Job Description:
54 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.


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.


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