Sr Analyst, Data Science
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 • CompetitiveCompensation, 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