Senior Machine Learning Engineer - Risk

Airwallex is the only unified payments and financial platform for global businesses, powering over 100,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, and treasury.
Singapore
$99,000 - $168,000
Machine Learning
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Finance · AI

Description For Senior Machine Learning Engineer - Risk

Airwallex, a unified payments and financial platform for global businesses, is seeking a Senior Machine Learning Engineer for their Risk Platform team. This role, based in Singapore, involves working on sophisticated ML problems in risk management, including fraud detection.

Key responsibilities include:

  1. Analyzing business requirements and translating them into ML problems
  2. Performing feature engineering and model training
  3. Collaborating with different teams to apply models to business problems
  4. Staying up-to-date with cutting-edge ML technologies
  5. Coaching junior ML engineers

The ideal candidate should have:

  • Experience in risk domain modeling, preferably in fraud detection
  • Proficiency in Python and/or JVM languages (Java, Scala, Kotlin)
  • Experience with ML libraries like scikit-learn, TensorFlow, PyTorch, Keras
  • Familiarity with big data frameworks such as Flink or Spark
  • SQL knowledge

Airwallex offers a competitive salary range of SGD 99K – SGD 168K and promotes fair compensation practices. The company values diversity and considers all applicants based on merit, qualifications, competence, and talent.

Join a team of over 1,500 innovative professionals across 20+ global offices, backed by world-leading investors, and be part of building the future of global payments and financial platforms.

Last updated a month ago

Responsibilities For Senior Machine Learning Engineer - Risk

  • Analyze business requirements and turn them into ML problems
  • Work on feature engineering and model training
  • Collaborate with different teams to apply models to business problems
  • Be an expert about the cutting-edge ML technologies and be able to pick the right model architecture for our problems
  • Coach junior ML engineers to grow and be more effective in their job

Requirements For Senior Machine Learning Engineer - Risk

Python
Java
Scala
Kotlin
  • Modeling background in risk domain, fraud detection experience is a plus
  • Proficient in Python and/or a JVM language (Java, Scala, Kotlin)
  • Experience with model training and ML libraries, such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
  • Experience with big data frameworks, such as Flink or Spark
  • Familiar with SQL

Benefits For Senior Machine Learning Engineer - Risk

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k
  • Paid Time Off
  • Company Holidays

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