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Data Scientist

  • Full Time, onsite
  • Capital Dynamics Asset Management Sdn Bhd
  • Kuala Lumpur Developers/Programmers (Information & Communication Technology) Full time Add expected salary to your profile for insights, Malaysia
Salary undisclosed

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Responsibilities:

  • Researching and analysing market trends using quantitative model and using technical analysis to make trading decisions
  • Developing and implementing complex quantitative models (e.g. trading & forecasting)
  • Performing daily statistical analyses (e.g. risk analytics and default risk modelling) and coding tasks (e.g. pattern recognition or machine learning)
  • Detailing model specifications and methods of data collection
  • Testing new models, products and analytics programs
  • Developing optimal strategies
  • Developing new data algorithm and models to support company products
  • Presenting and interpreting data results to senior management and clients

Requirements:

  • Strong problem solving skill.
  • Preferably with a minimum of 2 years’ experience in data science related roles.
  • A solid Bachelor's degree in Computer Science or Mathematics or Statistics or any other related computational discipline from a reputable university. Applicants with the relevant master's qualification would have an advantage.
  • Proven expertise in data science and analytics for key areas, such as probability and statistics, time-series analysis, pattern recognition, optimisation, and predictive modelling.
  • Understanding supervised and unsupervised machine learning techniques and algorithms, such as k-Means, SVM, Decision Trees, Random Forest, etc. is a plus.
  • Hands on programming experience in Python and R.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Good command of spoken and written English.

Fresh graduates are encouraged to apply.

This career opportunity is available in our following office(s). Please send your job application to :

Kuala Lumpur: