Jewel Paymentech
Country : Anywhere
  • Full-time

Lead Data Scientist (Singapore) LDSC17

We're a Financial Technology startup which focuses on developing intelligent solutions to mitigate fraud and other risks for the banking and financial industry (think payment terminals, ATMs and eCommerce gateways).

We have also recently been named as one of the the most promising FinTech startups in Asia by SWIFT.

Responsibilities

Jewel Paymentech is looking for a highly-motivated person to lead the Data Science Team and support us in developing cutting edge fraud and risk management solutions.

 

  • Lead a multi-disciplined team that will take full ownership of turning discoveries and ideas into functional models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles
  • Guide and mentor others in the Data Science Team on the methodologies best suited to solve real-world issues
  • Build, test and deploy machine learning models to combat fraud and otherpayment risk issues
  • Lead Research & Development efforts on how to improve take 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.

 

Benefits

  • Attractive package + ESOP. 
  • Annual leave that's above industry norms
  • Annual holiday package on anniversary
  • Medical & dental plans
  • 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 activities

Requirements

  • Seven or more 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 toteam members and other stakeholders
  • Proficient in Python, Scikit-Learn
  • Proficiency in using any graph databases: Neo4J, OrientDB, AllegroGraph, etc.
  • Proficiency in Spark ML/MLLib
  • Additional advantage with proficiency in Natural Language Processing
  • Additional advantage with proficiency in using TensorFlow/Keras
  • Prior experience with some 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)
Components instead of salary
Equity

Total applicants :6 Job posted 11 days ago Total Views : 407 Unique Views : 407 Today Views : 31


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