Risk Analytics - Full Stack Engineer - Senior

Company and opportunity

Product and analytics work

• Apply software design and development methodologies, patterns, and toolsets in an agile product environment.
• Translate business objectives into models and progress metrics while managing available technical resources.
• Explore, visualize, clean, and validate data for real-world model deployment.
• Design machine learning, analytical, and novel data-processing algorithms.

Model development

• Perform exploratory and explanatory data analysis and identify patterns in historical data.
• Acquire or locate datasets for training when needed.
• Train models, tune hyperparameters, analyze model errors, and design improvement strategies.
• Deploy models to production and support data acquisition activities.

Application engineering