Description

You will apply statistical modeling and data analytics to address financial crime and anti-money laundering challenges.

Responsibilities

• Develop and validate models specifically for anti-money laundering and risk management.
• Apply statistical modeling techniques including regression and time series analysis.
• Perform data mining and deep data analysis on large datasets.
• Build automation and scripting workflows using SAS, Python, or R.
• Manage ETL processes and data manipulation via SQL.

Required Skills

• 5+ years of experience in data science or analytics.
• Hands-on expertise with SQL, ETL, SAS, Python, and R.
• Proven experience in financial crime or AML domains.
• Strong background in model development and validation.
• Experience working with large-scale datasets.
• Proficiency in statistical modeling and data mining techniques.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science