Associate Director, Real Assets Quant — Hybrid & Python-Driven

Cohen & Steers; New York (NY); Hybrid; USD 160,000 - 170,000; Full time

Job summary

Cohen & Steers seeks a highly skilled Associate Director, Real Assets Quantitative Analyst to lead quantitative research and production of a top-down dynamic asset allocation platform supporting real assets portfolios.

You will evolve signals, risk models, and portfolio construction while owning daily production, data ingestion, and backend Python services. The role involves collaboration with PMs and front-end tools like Angular and Power BI in a hybrid NYC setting.

Qualifications

• Minimum 3 years of quantitative research, systematic investing, or development.
• Advanced degree in a quantitative discipline or equivalent expertise.
• Strong foundation in statistics, econometrics, optimization, and asset return modeling.
• Expert-level Python and SQL skills; experience supporting live production investment models.
• Excellent written and verbal communication; collaborative with PMs and stakeholders.

Responsibilities

• Conduct quantitative and applied investment research to enhance dynamic asset allocation signals for real assets.
• Contribute to portfolio construction, risk budgeting, and allocation decisions using optimization frameworks.
• Own and evolve risk models and scenario frameworks for PM decision-making.
• Manage data ingestion/validation from S&P Xpressfeed, Bloomberg, Datastream, and internal datasets.
• Maintain and enhance Python backend code and API services; ensure reliable daily production runs.
• Support front-end components (Angular/Power BI) used by Portfolio Managers.
• Document methodologies, assumptions, and model changes clearly.

Skills

Python

SQL

Statistics

Econometrics

Optimization

Asset return modeling

Investment theory

Communication skills

Collaborative mindset

Education

Advanced degree in a quantitative discipline

Tools

S&P Xpressfeed

Bloomberg

Python back-end

Angular

Power BI

SSRS

Job description

Cohen & Steers seeks a highly skilled Associate Director, Real Assets Quantitative Analyst to lead quantitative research and production of a top-down dynamic asset allocation platform supporting real assets portfolios.

You will evolve signals, risk models, and portfolio construction while owning daily production, data ingestion, and backend Python services. The role involves collaboration with PMs and front-end tools like Angular and Power BI in a hybrid NYC setting.