Investment Analytics & Risk Insights Analyst

Ford Foundation

New York (NY)

Hybrid

USD 135,000 - 165,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Medical, dental, and vision benefits

Generous time off

Parental leave policy

Retirement benefits up to 13%

Job summary

The Ford Foundation is seeking an Investment Analytics Analyst to join the Investments division in New York. You will advance asset allocation, risk management, and manager selection through quantitative analysis and innovative tools.

Responsibilities include data reporting, analytics platform development, and support for portfolio construction. Candidates should bring 2+ years of relevant experience, strong Excel and MATLAB skills, and familiarity with Bloomberg.

Qualifications

2+ years of experience in investment management, quantitative research, or a related analytical role.
Bachelor’s degree or equivalent combination of education and work experience.
Well-developed quantitative and analytical skills with strong grounding in investment concepts.
Proficiency in a programming language (familiarity with MATLAB is a plus).
Advanced Excel modeling skills.
Familiarity with Bloomberg.
Demonstrated experience in using AI tools for impactful work.
Ability to clean, manage, and analyze complicated datasets.
Proactive, detail-oriented and proficient at organizing complex tasks.
Strong verbal and written communication skills.

Responsibilities

Perform quantitative and risk analyses at the asset class-level and endowment-level, including factor analysis, stress testing, performance attribution, and return decomposition.
Prepare performance and exposure reports, market and risk dashboards, manager one‑pagers, and meeting materials.
Perform data collection, cleaning, and management across asset classes.
Maintain and enhance the internal portfolio analytics platform.
Build analytical tools for evaluating prospective and existing investments and understanding portfolio exposures.
Use AI tools to streamline workflows and build new analytical capabilities.
Support asset allocation tasks and research, such as biennial Policy Portfolio Reevaluation and investment strategy market-mapping exercises.
Contribute to discussions regarding portfolio construction of externally-managed funds.
Provide analytical support for market risk hedging strategies and tactical trades.