Executive Assistant providing administrative support to executive leaders at Williams. Organizing executive meetings, handling confidential information, and coordinating schedules with efficiency.
About the role
- Senior Assistant Vice President leading machine learning model development for banking. Collaborating with cross-functional teams to drive innovative solutions and business benefits.
Responsibilities
- Lead the development and deployment of machine learning models
- Collaborate with cross-functional teams and provide technical leadership
- Guide junior data scientists on best practices in model development and MLOps
- Develop robust models to solve business problems and drive benefits
- Support and review junior data scientists’ submissions
- Manage queries raised by model validation teams and defend models
- Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance
Requirements
- 8+ years in Retail banking
- Strong business knowledge of banking analytics across the retail banking customer lifecycle
- Master’s or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field
- End-to-end hands-on ML solution development experience
- Strong experience with model development, deployment and monitoring in production environments
- Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.)
- Excellent communication skills
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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