VP / AVP, Data Architect, Investment & Trading Technology, Technology & Operations
Singapore, Singapore | DBS Bank
Industry:Banking / Investment Banking
IT / Information Technology
Job Description:56 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.
Manage end to end delivery of big data projects; building analytical pipelines
Undertaking the necessary requirement analysis; be able to benchmark systems, analyze system bottlenecks and propose solutions; be able to clearly articulate pros & cons of various technologies & platforms; be able to document use cases, solutions and recommendations;
Designing the Technical architecture and application customization
To be the link between the needs of the organization and the data engineers/ scientists/analysts and the BI developers
Fine tune applications and systems for high performance and higher volume throughput
Curious individual that has a strong interest in exploring various technical domains in the areas of analytics and data science.
3-7 years of experience in applied statistical learning, machine learning and data science with tangible outcomes.
Excellent written and communication skills, especially one who can explain complicated models and simplify them.
A keen learner who desires to learn and acquire new knowledge both in business and technical domains, as well as to acquire proficiency in new tools, languages and techniques.
A strong team player who can contribute as an individual, while being a mentor to other team members through sharing of knowledge.
Extremely proficient in Python development, with in-depth knowledge of libraries such as Scikit learn, TensorFlow, PyTorch, Keras
Solid experience on Big Data especially Hadoop Eco-system i.e. HDFS, Hive, Impala, Map-Reduce, Kafka, Yarn etc, and Spark eco-system, Cloud computing, Datawarehousing / ETL.
Experience in cloud-based architecture using AWS etc.
To be a self-starter and to able to work analytically in a problem-solving environment;
To have excellent written and verbal communication skills;
Have experience in setting up data security and data privacy
Master’s or PhD in Computer Science, Statistics, Math, Engineering or other quantitative disciplines
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