You have a passion for building scalable machine-learning/big data solutions that solve real-world anti-money-laundering and fraud problems, both in batch and real-time. And you are results-driven, with a strong sense of ownership to see the solutions through from start to finish.

Example Activities:

- Build a united big data processing and feature engineering framework for AML/fraud products 

- Implementing a scalable graph analysis framework 

- Implementing an auto ML framework applying to our AML/fraud use cases  

- Design and build real-time pipelines for AML product

Your Responsibilities:

- Take full ownership in designing and implementing big data and machine learning pipelines (both batch and real-time) to support the product needs 

- Work closely with data scientists, engineers and product managers to deliver the end-to-end product 

- Perform best practices in design, development and documentation

About you:

You should have relevant experience to the role, as:

  • Strong programming skills
  • Building robust and scalable data infrastructure (both batch and real-time processing) to support the needs of internal and external users
  • Experience in building big data pipelines for machine learning products
  • Strong understanding of data modeling
  • Experience with graph databases is a plus
  • Experience with building cloud-based or on-premise big data and machine learning platform services is a plus

More generally, we expect you to have the quality of the following:

  • Take strong ownership of your work and are driven to deliver the product end-to-end
  • Excited about making an impact in building excellent products and have a strong curiosity
  • Hold high standards and pursue excellence

Get in touch with us

Fill out the form to let us know about you and your enquiry and one of our team will be in contact with you shortly.