Job Description
About the position Fundbox is a fast-growing Fintech startup company. As an embedded working capital platform for small businesses, we use technology to help small businesses optimize cash flow. Since 2013, we have unlocked over $3 Billion in working capital and connected to over 500,000 businesses. Fundbox's fully digital and automated credit underwriting of Small Businesses is a key competitive advantage that many competitors also claim to have, but fail to achieve. Our automated underwriting is powered by second-to-none technology capabilities, driven by a strong data science and credit risk management culture, and enabled by 10 years of accumulated testing data.
We are looking for a Sr Data Science Analyst that will deliver the next generation of data science and decisioning capabilities for our business. 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. Requirements • 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.
Experience in credit at a financial services or fintech firm is a plus. • 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. • Flexibility to explore new ideas and keeps up-to-date on the forefront of emerging data science technologies and machine learning techniques, including GenAI and LLMs • Excellent written and verbal communication skills to deliver insights clearly • Experience in formulating business problems that involves complex data and models • Ability to collaborate with other disciplines and communicate models and methods Nice-to-haves • Experience in credit at a financial services or fintech firm is a plus.
Benefits • Competitive
Compensation, including equity with Fundbox in the form of restricted stock units • Generous PTO policy to include vacation, sick time and more • Monthly lunch budget • Total wellness benefits, including individual annual budget, mental and physical health resources and more • Personal and professional development budget • Stipend to improve your home office setup • Premium coverage for health plans offered from day one (some options covered at 100% for Employees) • 401k, Life insurance and disability benefits Apply tot his job