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VP / AVP, Data Architect, Investment & Trading Technology, Technology & Operations

Singapore, Singapore | DBS Bank

  • Industry:
    Banking / Investment Banking
  • Position Type:
    Full-Time
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
    3-5 years
    5-7 years
Job Description:
50 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 


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


Requirements 


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


Qualifications:


Master’s or PhD in Computer Science, Statistics, Math, Engineering or other quantitative disciplines


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