Senior Quantitative Risk Data Scientist, Fintech

About the role

Design and implement algorithmic solutions, predictive models, and portfolio risk assessment tools to optimize revenue and manage credit risk across microloans and other financial products. Analyze large datasets, refine risk methodologies, collaborate with data and engineering teams, and mentor junior and mid-level quantitative professionals. A bachelor's or master's degree in data science, statistics, finance, mathematics, or a related field is requested; a PhD is a plus. Candidates should have at least six years of quantitative risk analysis experience in financial services, strong expertise in algorithmic optimization, statistical and machine learning models, Python or R, big data analytics, and portfolio risk tools.