quantitative analyst - machine learning in Singapore

posted
contact
sara sun, randstad
job type
permanent

job details

posted
location
singapore
specialism
information technology
job type
permanent
working hours
Full-Time
reference number
91M0149587_1602654871
contact
sara sun, randstad
phone
+65 6510 1360
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job description

Responsibilities:
  • Work on large scale unstructured data with data science techniques to extract insights to model financial market and advise team on identifying strategic trades in the financial markets.
  • Apply feature engineering on financial market data, social media data, blockchain data and market trends.
  • Identify market trend / pattern based on own analysis and present the insights to stakeholders.
Requirements:
  • Master’s degree in a relevant discipline (e.g. math, statistics, optimization, computer science, engineering, etc.)
  • Minimum 3 years of working experience in machine learning field
  • Proficient in Python/C++, and working with databases like SQL, ElasticSearch
  • Strong grasp of key machine learning algorithms and principles, pattern recognition, expertise in supervised/unsupervised learning and reinforcement learning.
  • Experience in timeseries forecasting, anomaly detection, user categorization will be advantageous.
  • Rich experience in feature engineering, dealing with large scale, noisy and unstructured data. Experience with time series data is compulsory.
  • Experience in trading forex, cryptocurrency or other financial product will be a plus.
  • Good communication skills, ability to articulate technical concepts and drive discussions with teams.
  • Ability to meet deadlines and work in a fast-pace environment.

To apply online please use the 'apply' function to attach your CV in the link

or you may directly send your CV to sara.sun(@)randstad.com.sg (Attn: Sara)


(EA: 94C3609/R1763325)

We regret that only candidate based in Singapore will be considered due to Singapore Covid19 Travel and Quarantine restrictions.

skills

no additional skills required

qualification

no additional qualifications required

educational requirements

Bachelor Degree