Data Scientist - Aml & Compliance Analytics (ciudad De México, Cuauhtémoc)

BBVA

Ciudad de México, Mexico
Hybrid (2 days onsite, 3 days remote)
Python and pyspark
SQL
Machine learning models
BBVA is seeking a Data Scientist for AML & Compliance Analytics in Mexico City, looking for a candidate with advanced analytical skills and experience in combating financial crime. The role involves developing sophisticated models to enhance compliance and safeguard the bank’s integrity

Job Summary

  • Design advanced monitoring models for detecting money laundering typologies in batch and real-time processes.
  • Implement Machine Learning algorithms (Gradient Boosting) and Neural Networks for anomaly detection and identify unusual behaviors.
  • Ensure model compliance with financial authorities (CNBV, UIF, GAFI) and audit processes.

Matching Summary

Match Score: 85

BBVA is seeking a Data Scientist for AML & Compliance Analytics in Mexico City, looking for a candidate with advanced analytical skills and experience in combating financial crime. The role involves developing sophisticated models to enhance compliance and safeguard the bank’s integrity.

Skills & Requirements

Must-have

  • Python and PySpark
  • SQL
  • Machine Learning models
  • AML/PLD regulations
  • large databases

Nice-to-have

  • distributed architectures
  • graph libraries
  • forensic visualization tools
  • CAMS certification

Key Requirements

  • 5-7 years of Data Science experience
  • 3+ years in Compliance, AML/PLD, or Operational Risk
  • Bachelor's degree in Data Science, Actuarial Science, Mathematics, Engineering, or related fields

Work Rights

Not specified

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