Position Details
About this role
This role involves developing and deploying machine learning models and data insights for anti-money laundering efforts within a financial services environment.
Key Responsibilities
- Partner with cross-functional teams to deliver risk management products
- Build production-ready data pipelines
- Develop machine learning models
- Translate complex data work into business goals
- Monitor and validate models in production
Technical Overview
Utilizes Python, AWS, Snowflake, Spark, and statistical techniques to build scalable data pipelines and predictive models for risk management.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong experience in Python, AWS, and machine learning techniques. They should have a solid background in statistical modeling, data pipelines, and cloud-based data solutions, with excellent collaboration skills.
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 AWS or Python, No background in statistical modeling or machine learning, No experience with data pipelines or cloud platforms
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