Investment Analyst (RWJF)

Robert Wood Johnson Foundation; Princeton (NJ); On-site; USD 90,000 - 130,000; Full time

Job summary

Robert Wood Johnson Foundation seeks an investment analyst to provide analytical support for asset allocation, participate in risk discussions, and help run systems to assess investment risks. The three-year analyst program offers hands-on experience in endowment-style investing.

Successful candidates typically have up to five years in investment or analytical roles, with strong quantitative skills and experience in SQL, Matlab, Python, R, and MS Office; degrees in Econometrics or Data Science

Qualifications

• Bachelor’s or Master’s degree in Econometrics, Data Science, Statistics, or related fields.
• Up to five years in investment or analytical roles.
• Strong quantitative skills and data manipulation experience.
• Experience with SQL, Matlab, Python, and R.
• Proficiency with Microsoft Office.

Responsibilities

• Provide analytical support for asset allocation and portfolio construction.
• Participate in risk discussions and risk assessment processes.
• Assist systems to assess risks inherent with RWJF investments.

Skills

SQL

Matlab

Python

R

Microsoft Office

Education

Econometrics

Informatics

Data Science

Statistics

Computational Finance

Engineering

Hard sciences

Tools

Microsoft Office

Job description

RWJF is seeking an investment analyst to perform a variety of tasks to provide analytical support for asset allocation, participate in risk discussions and support systems to assess risks inherent with RWJF investments. The investment analyst program is a three-year term appointment.

Successful candidates will have up to five (5) years of demonstrated experience in an investment or analytical role with demonstrable understanding of various asset classes and associated capital markets, economics, quantitative risk management, and portfolio management theory with an appreciation for endowment and foundation investing techniques. The candidate will also have strong quantitative skills with a firm understanding of statistical analysis. Extensive experience in gathering, cleaning, and manipulation of financial data using SQL, Matlab, and Python. Analysis and reporting with R and Microsoft Office. Bachelor’s or Master’s degree in Econometrics, Informatics, Data Science, Statistics, Computational Finance, Engineering, hard sciences, or related fields or the equivalent combination of education and/or experience.