Job Title: Senior Data Scientist - Credit Risk Modeling
Overview: We are seeking a skilled Senior Data Scientist to develop and implement advanced machine learning models that predict creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will collaborate closely with the Data Analytics and Data Engineering teams to ensure high-quality data integration into production systems.
Responsibilities:
* Develop 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.
* Cultivate a culture of collaboration, mentoring, and knowledge sharing among team members.
* Prioritize efficient delivery through effective planning, prioritizing, and developing solutions.
Requirements:
Data Science Expertise
* Master's 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 industry, including working with credit and financial datasets.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Very strong knowledge of Python and SQL programming languages.
* Experience with cloud services such as AWS, particularly SageMaker for model development and deployment.
* Familiarity with model registry tools like MLflow and SageMaker Model Registry.
Collaboration and Leadership
* Proven track record of building and deploying machine learning models in a collaborative environment.
* Able to translate technical concepts into actionable strategies for non-technical stakeholders.
* Strong communication and interpersonal skills to foster a culture of collaboration and knowledge sharing.
Benefits:
* Competitive salary.
* Remote-first work environment.