Position Details
About this role
This role involves developing models for anti-money laundering and fraud detection, focusing on transaction monitoring, customer risk assessment, and leveraging AI tools like large language models.
Key Responsibilities
- Develop AML models
- Implement transaction monitoring
- Build customer risk rating systems
- Use AI tools and LLMs
- Monitor model performance
Technical Overview
The technical environment includes Python, Snowflake, AWS, Spark, and AI tools, with an emphasis on model development, deployment, and monitoring for AML applications.
Ideal Candidate
The ideal candidate is a mid-level data scientist experienced in Python, Snowflake, AWS, and Spark, with a focus on machine learning applications in transaction monitoring and risk assessment, familiar with large language models and AI tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python and Snowflake, No background in machine learning or AI tools, No experience with transaction monitoring, Less than a Bachelor's degree in a relevant field
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