About Us
We are a forward-thinking organization, dedicated to innovation and excellence in the field of Machine Learning. Our mission is to push the boundaries of what is possible with advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
Our team is comprised of highly skilled professionals who work closely together to ensure that our models are trained on high-quality data and integrated into production systems. We prioritize collaboration, effective planning, and efficient delivery to achieve our goals.
Key Responsibilities
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Couch and mentor fellow data analysts and engineers.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Requirements
To be successful in this role, you will need to possess:
* Superb programming, software, and data development skills.
* Strong communication skills, with the ability to translate between technical and non-technical audiences.
* A 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 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.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment.
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle.
Benefits
* Competitive salary.
* Remote first work environment, where we trust you to get your work done.