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. Collaboration with key managers, product owners, and peers is crucial to drive business decisions and financial inclusion.
Key Responsibilities
* Create interpretable, accurate, and scalable predictive models utilizing 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 data engineers.
* Educate others on best practices in machine learning and statistical modeling.
Required Skills and Qualifications
The ideal candidate should have:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Relevant experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Strong programming skills in Python and SQL.
* Experience with cloud services such as AWS SageMaker for model development, training, and deployment.
* Knowledge of statistical and machine learning techniques for predictive modeling, classification, and regression.
Benefits
We invest in our people with benefits designed to help you thrive both personally and professionally:
* Competitive salary.
* Remote first work environment.