Position Details
About this role
This role involves developing machine learning models and data insights to support anti-money laundering efforts, utilizing advanced analytics and cloud technologies across large datasets.
Key Responsibilities
- Partner with data science team
- Build ML models
- Leverage cloud platforms
- Analyze large datasets
- Develop transaction monitoring tools
Technical Overview
Hands-on experience with Python, Spark, AWS, Snowflake, and statistical modeling. Building and deploying machine learning models in a cloud environment for financial data analysis.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, Python, and cloud platforms like AWS. They are innovative, collaborative, and skilled in developing predictive models and analyzing large datasets.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or machine learning, No cloud platform experience, No relevant data science background
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