Senior Data Scientist - Credit Risk Modeling
We are seeking a highly skilled Senior Data Scientist - Credit Risk Modeling to develop and deploy 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 the theory and tradeoffs behind these techniques and be able to create interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments.
Key Responsibilities:
* Develop and deploy advanced machine learning models for credit risk modeling.
* Collaborate with the Data Analytics and Data Engineering teams to integrate models into production systems.
* Create interpretable, accurate, and scalable predictive models using datasets from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
Required Skills and Qualifications:
* 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 or service 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 programming languages.
* Experience with 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.
Competitive Benefits That Support You:
* 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.
* FinTech/PropTech expertise.
* Startup experience.
* Software engineering experience.
* Compliance knowledge.