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.

If you are keen to be part of Capital Dynamics, please send your complete resume to careers@icapital.biz