Description

You will drive model remediation for Transaction Monitoring programs within the banking and financial domain.

Responsibilities

• Execute model remediation for TM programs to enhance monitoring capabilities.
• Design and modify quantitative statistical methods to assess and interpret model metrics.
• Perform data analysis and processing using big data environments and modern modeling techniques.
• Apply AML/CTF transaction monitoring guidance, specifically OCC 2011-12, to all modeling activities.

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.
• Experience with R Script.
• Hands-on technical experience with Transaction Monitoring systems such as Mantas or Actimize.
• Data engineering experience using Hadoop and Apache Spark.
• Working knowledge of Scala.
• Familiarity with CI/CD processes and Git branching.
• Ability to work hybrid 3 days onsite in New York, NY.

Key Skills

Education

Any Graduate