Job Description:

　　Our team is directly involved in the development of analytical solutions, including credit risk metrics, supply risk, interest rate risk, liquidity risk, and climate risk. Our data scientists contribute to projects in every phase, including data analysis, methodology design, model development and improvements, documentation writing, results delivery, and interpretation.

　　Required:

　　Master's or Ph.D. in Financial Engineering, Data Science, Computer Science, Statistics, Economics, Econometrics, Mathematics, Physics, Finance, or any other quantitative field, or bachelor's with at least two years of work experience.

　　Strong programming skills in R and/or Python.

　　Strong knowledge of statistics/econometrics.

　　Excellent English communication skills.

　　Ability to communicate both verbally and in writing specialized content in a clear and concise way to technical and non-technical audiences.

　　Preferred:

　　Experience with SQL.

　　Experience with the theory and application of machine learning techniques.

　　Data wrangling experience.

　　AWS experience: EC2, Athena, S3

　　#LI-ER1