Lead Data Architect - Anti-Money Laundering and Fraud Detection

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AI Summary

Design and build high-performance AML & Fraud Detection Systems and compliance analytics across the bank's ecosystem. Lead Data Architect role in Financial Crime domain. Based in HCMC, Vietnam.

Key Highlights
Design and build high-performance AML & Fraud Detection Systems
Lead Data Architect role in Financial Crime domain
Compliance analytics across the bank's ecosystem
Technical Skills Required
Python PySpark PostgreSQL Databricks Snowflake Spark Kafka AWS GCP
Benefits & Perks
Fantastic salary
13th month salary
Performance bonus
Health insurance

Job Description


The Opportunity:


  • Global bank
  • Fantastic salary + 13th month salary + performance bonus + health insurance and more
  • Based in HCMC Vietnam; relocation assistance will be provided or options for fly in fly out can be discussed


About the role:


The Lead Data Architect (Non financial Risk) will be part of the Financial Crime domain and will be responsible for designing and building a high-performance Anti-Money-Laundering (AML) & Fraud Detection Systems and compliance analytics across the bank’s ecosystem.


Essential skills required:


  • University degree qualified
  • 5+ years of experience in Banking, Financial Services or online digital industries/ e-commerce
  • Senior level experience in architecture and design of Financial Crime or Cyber Security systems
  • Experience using Databricks or Snowflake
  • Knowledge of Spark, Python, PySpark, PostGreSQL, Databricks SQL
  • Experience with AWS or GCP cloud-based platforms
  • Knowledge of Kafka/MQ/Spark is a nice-to-have


If you have the relevant skills/experience, please send your CV showcasing your experience.


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