Position Details
About this role
This role involves developing and tuning financial crimes compliance detection models using advanced statistical and machine learning techniques. The candidate will analyze data, interpret findings, and communicate results to senior management.
Key Responsibilities
- Develop detection rules/models
- Analyze and interpret data
- Perform statistical analysis
- Use machine learning techniques
- Communicate findings to management
Technical Overview
The environment includes data platforms like Snowflake and Oracle, programming in Python and SQL, and applying machine learning models such as XGBoost and LightGBM for AML and sanctions screening.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 7+ years of experience in statistical analysis, machine learning, and data science within financial services. Strong programming skills in Python and SQL, with experience in financial crimes detection, are essential.
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 in financial crimes compliance, No proficiency in Python or SQL, Less than 5 years of relevant experience, No graduate degree in quantitative field
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