Associate Director, Real Assets Quantitative Analyst

Cohen & Steers • New York, NY

89d • $160,000 - $170,000 • Hybrid

About The Position

We are seeking a highly skilled Quantitative Investment Analyst to join the Multi-Asset Solutions investment team and assume primary responsibility for an existing top-down dynamic asset allocation platform primarily supporting diversified real assets portfolios. This role combines investment and applied quantitative research with production system ownership. The successful candidate will conduct research to evolve tactical allocation signals, risk models, and portfolio construction frameworks, while also being responsible for the day-to-day operation, maintenance, and enhancement of the production model. The primary users of the platform are the Portfolio Managers. Cohen & Steers is committed to an inclusive culture, valuing diversity in support of our people and clients.

Requirements

• Minimum 3 years of relevant experience in quantitative research, systematic investing, or quantitative development.
• Advanced degree in a quantitative discipline or equivalent demonstrated expertise.
• Strong foundation in statistics, econometrics, optimization, and asset return modeling.
• Advanced working knowledge of investment theory and practice.
• Expert-level Python and SQL skills.
• Experience supporting live production investment models.
• Strong written and verbal communication skills.
• Demonstrates inclusive behaviors in support of a culture that values diverse perspectives.
• Agrees to comply with the firm’s hybrid work policy (“work from home policy,” as aligned with the Company’s employee handbook), which currently requires reporting to the Company’s New York City office four (4) days per week, with one (1) remote workday permitted.

Nice To Haves

• Exposure to real assets or multi-asset allocation strategies.
• Experience with S&P Xpressfeed market data.
• Angular, Power BI, SSRS or similar analytics front-end experience.
• Familiarity with hybrid on-prem / cloud infrastructure.

Responsibilities

• Conduct quantitative and applied investment research to develop and enhance tactical and dynamic asset allocation signals for real assets.
• Contribute directly to portfolio construction, risk budgeting, and allocation decisions, including the use of Black‑Litterman–style and other optimization frameworks.
• Own and evolve risk models and scenario frameworks used to inform PM decision‑making.
• Manage ingestion and validation of S&P Xpressfeed, Bloomberg, Datastream, and internal datasets.
• Maintain and enhance Python backend code and API services with strong engineering discipline.
• Own daily production runs, monitoring, and issue resolution for a live dynamic allocation model.
• Support Angular and/or Power BI front-end components used by the PM.
• Clearly document methodologies, assumptions, and model changes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level