Description

You will drive model remediation for Transaction Monitoring programs in the banking and financial sector.

You will own the design and modification of quantitative statistical methods to assess model metrics.

Responsibilities

• Execute model remediation for Transaction Monitoring programs to enhance monitoring capabilities.
• Apply AML/CTF transaction monitoring guidance, specifically OCC 2011-12, to all modeling activities.
• Perform data analysis and processing using big data environments and modern modeling techniques.
• Integrate CI/CD processes and manage Git branching workflows.

Required Skills

• 5+ years of experience in Data Science or Quantitative analysis.
• Direct experience with Model Remediation in a banking or financial services environment.
• Proficiency in SQL and Python.
• Hands-on technical experience with Transaction Monitoring systems such as Mantas or Actimize.
• Data engineering experience using Hadoop and Apache Spark.
• Experience with R Script.
• Working knowledge of Scala.

Key Skills

Education

Any Graduate