About the Role
We are seeking a skilled Machine Learning Engineer to apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
This role will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems. The ideal candidate will have a strong understanding of machine learning techniques and experience in building and deploying predictive models.
Key Responsibilities:
* Develop and deploy machine learning models using Python and SQL
* Collaborate with Data Analytics and Data Engineering teams to integrate models into production systems
* Translate model insights into actionable strategies that drive business decisions and financial inclusion
* Couch and mentor fellow data analysts and engineers
* Evaluate and improve model performance
* Ensure efficient delivery through effective planning, prioritizing, and developing, testing, and releasing work
Requirements:
* Masters degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis
* 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
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression
* Knowledge of cloud services such as AWS and Snowflake
* Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle
What We Offer:
* Competitive salary
* Remote-first work environment
* Opportunities for professional growth and development
* A collaborative and dynamic team environment