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.

We offer: ·

Access to some of the largest and richest datasets in the world.

Exposure to a global client base, including key lenders, asset managers, insurers, corporations, and governments.

Opportunities to see your research implemented and brought to the market on a large scale. You may make a lasting impact on the financial system.

Competitive compensation.

Excellent Work-Life balance.

Qualification

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.

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.