Description

You will own the end-to-end data science lifecycle for financial crime scenarios.

This role is hybrid.

Responsibilities

• Analyze financial crime scenarios using data to identify patterns and risks.
• Develop and implement data models to support detection and prevention efforts.
• Perform system analysis on current data infrastructure to ensure scalability and efficiency.
• Engineer and architect solutions using Databricks.
• Plan and manage data projects and resources to meet delivery timelines.

Required Skills

• 8+ years of relevant working experience in data science or engineering.
• Expert proficiency in SQL for complex data extraction and manipulation.
• Experience with Data Modeling techniques for structured and unstructured data.
• Strong background in System Analysis to evaluate and improve existing architectures.
• Hands-on experience with Databricks engineering and architecture.
• Familiarity with database administration concepts.
• Proven financial crime domain experience.

Key Skills

Education

Any Graduate