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
- 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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