The Data Science Intern is an excellent opportunity to develop modeling and analysis skills while working in a dynamic team to drive thoughtful insights to the firm’s institutional clients and internal consultants. The Intern will assist the Research team in exploratory data analysis, data cleaning, and statistical/predictive modeling. You will have strong problem solving skills and are comfortable developing tools end to end. Furthermore, you have a keen interest in developing quantitative models, owning your work, and demonstrating data science techniques to reach conclusions to sophisticated financial problems.

Responsibilities:

• Work alongside the Research team to improve and develop models as needed.
• Leverage Machine Learning for high stakes, client related use cases.
• Actively improve and develop data science tools.
• Automate new and existing processes.

Required Skills, Experience, Knowledge:

• Progress towards a Bachelor’s or Master’s Degree in a quantitative program.
• Strong quantitative methods focus with understanding of financial concepts.
• Ability to communicate technical information at an audience appropriate level.
• Experience using Python for statistical analysis.
• Knowledge of applied machine learning and the underlying math concepts.
• Understanding of regression modeling, forecasting methods, and time series analysis.
• Facility with Microsoft Excel and Word, or equivalent.