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Job Description

  • Research and analyse market trends using quantitative model and using technical analysis to make trading decisions 
  • Develop and implement complex quantitative models (eg. trading & forecasting) 
  • Perform daily statistical analyses (e.g., risk analytics and default risk modelling) and coding tasks (e.g., pattern recognition or machine learning)
  • Detail model specifications and methods of data collection
  • Test new models, products and analytics programs
  • Develop optimal strategies
  • Develop on new data algorithm and models to support company products
  • Present and interpret data results to senior management and clients 

Job Requirements

  • Strong problem solving skill.
  • Preferably has 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.  

Company Benefits

Performance base Total Rewards Structure (TRS)

You decide on your own benefits based on what you will be contributing to the company’s success! Work hard and smart to earn those

It’s OKAY to NAP

Power naps are highly encouraged because we CARE for you!

Strategically Located

Located close to Chinatown, our office is easily accessible from the Pasar Seni MRT/LRT Station.

Dress Down from Monday – Sat (half-day)

The authority to dress belongs to you! Wear whatever you want to wear every single day from Monday – Saturday (half-day)!


Additional Info

Experience Level

0 - 7 Years of Experience

Job Specialisation

General Work, Data Science & Analytics, Others


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Data Scientist

Capital Dynamics

4500

Pasar Seni

Full-Time

This job is no longer available