Opportunity Overview
We are seeking a highly 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 successful candidate will collaborate with key managers, product owners, and other peers and cross-functional partners that rely, produce, and interact with the data domain across the organization.
Key Responsibilities
* Develop and deploy machine learning models utilizing datasets generated from our cloud environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and data engineers.
Required Skills and Qualifications
* Advanced programming skills in Python and SQL.
* Strong experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Experience working with model registry tools such as MLflow, SageMaker Model Registry, or other similar systems.
* Strong communication skills to efficiently translate between technical and non-technical audiences.
Benefits
* Competitive salary .
* Remote first work environment .
Above and Beyond
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Experience working in FinTech or PropTech sectors.
* Familiarity with startup environments.