Jewel Paymentech
Country : Singapore
  • Full-time

Research Scientist (AI) – Jewel Labs

Jewel Paymentech is a financial risk technology company founded in 2014 with a mission to develop intelligent risk solutions for the banking and electronic payments industry. We were seed funded by the Singapore Government (SPRING) and are VC backed. Our early investors include Wells Fargo.

Our suite of intelligent solutions help the region's largest banks and payment providers conduct merchant due diligence and manage transaction fraud risks using predictive analytics. We also offer automated solutions to large merchants such as online marketplaces, to identify illegal and counterfeit goods as part of their KYC process.

We have been named as one of the top AI technology companies in the financial services industry by CB Insights as well as In 2015, we were named as one of the most promising FinTech companies in Asia by the SWIFT Payment Network.



Jewel Paymentech is looking for a highly-motivated research scientist to join our team and support us in developing cutting edge fraud and risk management solutions.

  • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles
  • Build, test and deploy machine learning models to combat fraud and other payment risk issues
  • Refine the performance and accuracy of existing models based on customer feedback
  • Research & Development on how to improve customers’ experience by using data that is available
  •  Research & Development on how to improve customers’ experience by using data that is available
  • Actively contribute to taking Data Science at Jewel to the next level


Do you want to experience working in a fast-paced environment with new challenges every day? This is the place.



  • Attractive package + ESOP. 
  • Annual leave that's above industry norms
  • Annual holiday package on anniversary
  • Medical & dental plans
  • Payments / mCommerce / eCommerce training
  • Select your own computer option
  • A dynamic working environment – you will be a part of a team that prides itself on engineering innovative solutions to complex problems
  • Cool working environment – plenty of snacks, regular movie nights, and team 


  • Minimum two years of relevant work experience
  • BSc, Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • Excellent English communication skills; the ability to convey your message to team members and other stakeholders
  • Proficient in Python and Scikit-Learn/Pandas
  • Additional advantage with proficiency in Spark ML/MLLib
  • Additional advantage with proficiency in Natural Language Processing
  • Additional advantage with proficiency in using any graph database: Neo4J, OrientDB, AllegroGraph, JanusDB, etc.
  • Additional advantage with proficiency in using Keras, TensorFlow, Caffe, Torch/PyTorch, Theano, mxnet or any other Deep Learning framework
  • Additional advantage with proficiency in using Amazon Web Services
  • Prior experience with at least several of the following models: Logistic
  • Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation (LDA)

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