Summary

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

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