AVP/VP, Data Scientist

  • Attractive
  • Singapour, Singapore
  • CDI, Plein-temps
  • GIC Private Limited
  • 12 déc. 17 2017-12-12

The Data & Analytics Department (DAD) is responsible for the positioning and development of GIC as an information centric business, by effectively harnessing the total GIC knowledge and investment data available from internal and external sources. DAD would be responsible for leveraging on data science and research at the enterprise level, facilitating enterprise-wide governance on information and developing an integrated knowledge architecture to process, analyse and mine data for better investment decisions. We are looking for a suitable candidate to join our Data & Analytics team as a Data Scientist.

Responsibilities

  • Evaluate, recommend and implement solutions in the areas of data ingestion, storage and management
  • Collaborate with the Portfolio Manager/ Researcher to evaluate and analyse noisy, unstructured data
  • Build scalable models and algorithms to clean, visualise, and analyse large datasets – generate insights and signals for research
  • Manage and lead team to research alpha signals to be included in systematic investment portfolios

 

Requirements

  • Bachelor or Master’s degree in technical disciplines including engineering, computer science, and applied sciences. Background in Financial Engineering, Mathematics, or Statistics is also desirable.
  • Experience working with large unstructured data sets and distributed computing tools (Mapreduce, Spark, Hadoop, Hive, etc.)
  • Experience with enterprise databases, in traditional and alternative database technologies (SQL and NoSQL)
  • At least 2 years’ experience in advanced statistical modelling and machine learning methods to develop robust predictive models
  • Hacking skills (ability to quickly prototype solutions for diverse needs)
  • Data manipulation – comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and transformation
  • Fluency in R, Python and/or other similar languages
  • Adept in data visualization
  • Ability to work in a challenging environment and is creative in coming up with solutions to solve complex problems
  • Strong communication skills and enjoys working in a collaborative environment
  • A passion for data, technology and investing