Quantitative Researcher

A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields from a leading university
In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
Experience in coding and working with data using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git
Ability to see solutions and opportunities that others do not see
High level of commitment and reliability, good balance of pragmatism and perfectionism
Business proficiency in English

Contribute to core services and products by applying economic and statistical models to large-scale data
Derive insights and actionable recommendations across a wide range of applications in fields such as insurance, healthcare, and e-commerce
Work alongside data scientists, economists, and software engineers to solve technical and quantitative challenges
Ensure that solutions produce value for clients
Apply both qualitative and quantitative economic analysis to historical and proposed business decisions of clients across various industries