Fundbox is looking to solve complex business problems and enhance underwriting workflows for small businesses by leveraging data science and decisioning capabilities.
Requirements
- Extensive knowledge and experience with Python, including real-world use of standard data science packages such as numpy, pandas, scipy and scikit-learn.
- Knowledge of SQL, Snowflake, Datalakes, and Cloud computing are preferred.
- Experience with GenAI and LLMs
- Hands-on experience writing code, researching complex problems and deploying data science modes & pipelines using open-source tools and cloud computing platforms.
- Experience with data analysis, data cleanup and feature engineering on large data
Responsibilities
- Research, develop and deploy cutting-edge machine learning and AI models, including using GenAI and LLMs, to solve complex business problems and enhance underwriting workflows.
- Deliver, monitor and manage data science models and workflows used in all business functions including credit underwriting, customer management, marketing, collections and fraud.
- Perform data analysis, data cleanup and feature engineering on large data to gather insights and signals for modeling and policy decisions.
- Undertake independent research projects with strong curiosity, understanding and innovation to drive business impact and deliver real-world solutions to challenging problems.
- Communicate and collaborate across business teams, financial analysts, software and data engineers, and product managers to deliver business impact and customer experience outcomes.
Other
- Bachelor’s degree in a quantitative field (Computer Science, Mathematics, Statistics or Engineering, etc.).
- 2+ years of experience in a data science, data analysis, or quantitative role.
- Excellent written and verbal communication skills to deliver insights clearly
- Ability to collaborate with other disciplines and communicate models and methods
- Flexibility to explore new ideas and keeps up-to-date on the forefront of emerging data science technologies and machine learning techniques
