**Senior Full Stack Engineer Position Overview**
This role requires a highly skilled individual 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.
The successful candidate 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 possess superb programming, software, and data development skills, as well as strong communication skills to efficiently translate between technical and non-technical audiences.
* A balance of velocity and long-term goals is essential, along with the ability to think big while delivering results in an agile and speedy manner.
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 data engineers.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Requirements:
* Mastery in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* 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.
* Very strong knowledge of Python and SQL programming languages.
Bonus Requirements:
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Familiarity with FinTech or PropTech sectors.
* Experience working in startup environments.
About Us
We value our employees' contributions and invest in their growth and development. We offer competitive benefits, flexible work arrangements, and opportunities for advancement.
Please submit your application if you're passionate about applying machine learning to real-world problems and contributing to our team's success.