About the Role
We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our organization, you will be responsible for developing and deploying advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
Key Responsibilities:
* Develop and train machine learning models using datasets generated from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers to ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Strong knowledge of Python and SQL programming languages.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment.
What We Offer:
* A competitive salary and benefits package.
* A remote-first work environment where we trust you to get your work done.
Core Competencies: Superb programming skills, strong communication skills, high standards, balance velocity with long-term goals, heart of a teacher, getting work done and driving excellence, adaptability.