VP / AVP, Data Scientist, Investment and Trading Technology, Technology and Operations
Singapore, Singapore | Nationally Chartered Bank
Industry:Banking / Investment Banking
Functions:Financial Services Professional
IT / Information Technology
Job Description:92 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.