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

  • Competitive
  • Singapore
  • Permanent, Full time
  • DBS Bank Limited
  • 20 Apr 19

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

DBS is a leading financial services group in Asia, with over 280 branches across 18 markets. Headquartered and listed in Singapore, DBS has a growing presence in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. The bank's capital position, as well as "AA-" and "Aa1" credit ratings, is among the highest in Asia-Pacific. DBS has been recognised for its leadership in the region, having been named "Asia's Best Bank" by The Banker, a member of the Financial Times group, and "Best Bank in Asia-Pacific" by Global Finance. The bank has also been named "Safest Bank in Asia" by Global Finance for seven consecutive years from 2009 to 2015.
Business Function
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
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.