data scientist (risk/machine learning/analytics) in Singapore

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job details

information technology
job type
S$ 8,000 - S$ 12,000 per month
reference number
sarah yang, randstad
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job description

about the company
Our client is a newly founded and funded risk technology product company developing a platform for peer-to-peer cryptocurrency trading. They are hiring a Data Scientist with Risk/ Financial Services background who would thrive in a start-up environment in a lean team.

about the role
You will:

  • Work closely with the Chief Data Scientist on developing Machine Learning algorithms for the pricing engine of the platform
  • Develop Machine Learning and AI solutions to solve business problems
  • Work together with traders, advisors and developers to develop the analytics and pricing platform that will be launched in a few months’ time
  • Help the team deploy models to practice and make frequent model improvements as new data is available
  • Advise on implementation of advanced data analytics models

skills and experience required

  • PhD or Masters specialisation in Mathematics, Computer Science, Artificial Intelligence, Robotics, Data Science, etc
  • Solid OOP and software design skills to create software that’s extensible, reusable and meets desired architectural objectives
  • 3+ years of industry, hands-on experience in Machine Learning, Predictive Analytics, AI
  • Good knowledge in a wide variety of advanced data analysis and machine learning techniques, and experience in developing solutions in response to real-world business problems
  • Programming skills in Python and SQL. Experience with Java, GoLang, Scala or C++
  • Experience working with SQL and NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Cassandra or Redis
  • Experience building large-scale (big) data processing systems using MapReduce or frameworks such as Spark and Hive
  • Experience using Python libraries such as Sci-kit learn, Pandas, Numpy, Scipy, Nltk, Keras, TensorFlow
  • Familiarity with Message Broker architectures such as RabbitMQ, ZeroMQ or Kafka will be advantageous

To apply online please use the 'apply' function, alternatively you may send your CV to sarah.yang(@) or contact Sarah Yang at +65 6510 3633.

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)


Machine Learning, Deep Learning, Tensorflow, Python, SAS, Hadoop, Spark


PhD or Masters specialisation in Mathematics, Computer Science, Artificial Intelligence, Robotics, Data Science, etc

educational requirements

Master's Degree