Position Details
About this role
This role involves developing and validating machine learning models within the Model Risk Office at a financial services company, focusing on risk management and decision-making.
Key Responsibilities
- Partner with cross-functional teams to deliver data science products
- Build machine learning models from design to deployment
- Leverage cloud technologies for large-scale data processing
- Validate and backtest models
- Translate complex data insights into business strategies
Technical Overview
Utilizes Python, AWS, H2O, Spark, and statistical techniques to build scalable data science solutions for risk assessment and model validation.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, statistical modeling, and data analysis using Python and cloud platforms like AWS. They should be innovative, collaborative, and proficient in building scalable models for risk management.
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 and AWS, No background in statistical modeling or machine learning, Unwillingness to work in a collaborative team environment
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