Description

You will apply quantitative and qualitative data analysis methods to prepare statistical analysis for identifying suspicious customer behavior in AML systems.

Responsibilities

• Validate data integrity and identify data quality issues, collaborating with Technology teams to resolve them.
• Automate data extraction and preprocessing tasks while performing ad-hoc data analysis and designing complex data manipulation processes.
• Identify data patterns and trends to provide actionable insights for business planning and process improvement.
• Document solutions and present analytical results for both technical and non-technical audiences.
• Generate concepts to improve methods for obtaining and evaluating quantitative and qualitative data for business enhancement.

Required Skills

• 2-4 years of experience in Financial Services or Analytics Industry with exposure to AI and Gen AI tools.
• Proficiency in Python and SQL.
• Experience with Machine Learning and Statistical Modeling.
• Hands-on experience in Data Analytics and Data Mining.
• Familiarity with Artificial Intelligence concepts.
• Knowledge of AML systems.

Key Skills

Education

Any Graduate