Description

Key Skills: Python, SQL, Machine Learning, Statistical Modeling, Data Analytics, Gen AI, Artificial Intelligence, Financial Services, Data Mining, AML

Good to Have Skills: Agentic AI experience, Hive, VBA, MS Excel proficiency, experience with retail banking, commercial banking, institutional banking, private banking, and strong communication skills for presenting findings to technical and non-technical audiences.

Roles & Responsibilities:

• Apply quantitative and qualitative data analysis methods to prepare statistical analysis for identifying suspicious customer behavior in AML systems.
• Validate data integrity, identify data quality issues, and collaborate with Technology teams to address them effectively.
• Automate data extraction and preprocessing tasks while performing adhoc data analysis and designing complex data manipulation processes.
• Identify data patterns and trends to provide actionable insights that enhance business decision making capabilities in planning and process improvement.
• Document solutions and present analytical results in comprehensive formats suitable for both technical and non-technical audiences.
• Generate innovative ideas and concepts to improve methods of obtaining and evaluating quantitative and qualitative data for business enhancement.

Experience Required: 2-4 years of experience in Financial Services or Analytics Industry with strong exposure to AI and Gen AI tools and techniques.

Education: Masters degree in a numerate subject such as Mathematics, Operational Research, Business Administration, or Economics from a Premier Institute

Key Skills

Education

Any Graduate