Jewel Paymentech
Country : Malaysia
  • Full-time

Senior Data Scientist (Malaysia) SDSC17

We're a Financial Technology startup which focuses on developing intelligent solutions to mitigate fraud and other risks for the banking and financial industry. We were also named as one of the most promising FinTech startups in Asia by SWIFT.

As a Data Scientist, you’ll work side by side with Software Developers, Designers and Product Owners, and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, and has a solid quantitative background.

Responsibilities

Jewel Paymentech is looking for a project manager to join our team and support us in delivering project commitments. The projects shall involve the delivery of Jewel’s software and services for the banking and financial industry.

  • Respond to RFIs, RFQs, and RFPs together with our sales team. Determine manpower, estimate schedules and calculate costs when creating responses.
  • Work closely with the Jewel team and our customers in delivering our solutions per commercial commitments. This may include leading/attending regular project meetings with stakeholders, tracking & updating project statuses and timelines
  • Provide guidance and leadership to project engineers/developers to ensure that delivery timelines and budgets are met
  • Communicate project statuses clearly and concisely in both formal and informal settings
  • Work closely with the Jewel team in bringing in best practices for managing and delivering of internal projects

Requirements

  • Minimum five 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 familiarity with graph theory as well as graph databases
  • 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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