Senior Applied Scientist, Credit Risk

Ramp is seeking a Senior Applied Scientist to develop and optimize credit risk models using machine learning and statistics. This role requires strong Python and SQL skills and a background in quantitative fields. Ideal candidates are experienced in model deployment and thrive in fast-paced environments.

As a Senior Applied Scientist at Ramp, you will design and optimize machine learning models that enhance credit risk decision-making and portfolio management. This role encompasses the entire applied science lifecycle, from data exploration to model deployment and monitoring, ensuring models are robust and aligned with business objectives.

You will collaborate with product, business, engineering, and data teams to translate complex problems into actionable insights. Your work will directly impact how Ramp's customers manage their financial decisions, requiring a strong foundation in statistics, optimization, and causal inference to solve critical business challenges.