Alternatives Portfolio Quant Sr. Associate | +$500B Alts Firm

Coda Search│Staffing; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Confidential Client in New York seeks a senior Portfolio Manager to design and manage private market portfolios across real assets and credit strategies. You will build optimization models, run scenario analyses, and collaborate with data providers to derive asset-class insights.

The role requires 4+ years in private markets and strong Python/SQL skills, plus experience with risk tools and portfolio construction techniques.

Qualifications

• Bachelor's or Master's degree in a highly quantitative field.
• 4+ years at a leading private markets investment manager or asset manager.
• Strong knowledge of private market cash flow dynamics and liquidity forecasting.
• Experience with portfolio optimization software and factor models.
• Excellent communication and data visualization skills.

Responsibilities

• Designing and implementing portfolio optimization frameworks for private markets across asset classes.
• Developing models that incorporate illiquidity, capital calls, distributions, pacing, and leverage.
• Building quantitative models for returns, risk, cash flow, and correlations.
• Creating Monte Carlo simulations and scenario analysis for portfolio outcomes.
• Collaborating with data providers and internal data to generate actionable insights.
• Contributing to risk measurement tools and working with PMs and risk teams.

Skills

Portfolio optimization

Quantitative modeling

Monte Carlo methods

Data analysis

Education

Bachelor's or Master's in quantitative field

Tools

Python

SQL

Gurobi

Mosek

Tableau

Bloomberg

Job description

On behalf of our client, a leading global alternative asset manager with a multi-decade track record and over $500 billion + in assets under management, we are conducting a confidential search for a professional to join their portfolio management group.

Our client's platform serves institutions and individuals seeking the investment advantages of real assets through actively managed listed equity and debt strategies. The platform draws on the firm's core real asset expertise across real estate, infrastructure, real asset debt, real asset solutions and opportunistic strategies, delivered through a range of flexible, scalable mandates (including separate accounts, registered funds and private funds). The client's roster spans financial institutions, public and private pension plans, insurance companies, endowments and foundations, sovereign wealth funds, and high net worth investors.

The Portfolio Management Group designs and manages customized investment strategies across the firm's global alternatives platform, spanning real estate, infrastructure, renewable power, private equity, and credit. This role will be responsible for playing a central role in portfolio construction, asset allocation, and portfolio optimization. This is an opportunity to join a team that connects client needs with investment opportunities across an integrated global platform.

Responsibilities:

• Designing and implementing portfolio optimization frameworks for private market portfolios across multiple asset classes.
• Developing optimization models incorporating illiquidity, capital calls, distributions, pacing, vintage diversification, sector/geographic constraints, and leverage.
• Building quantitative models for expected returns, risk, cash flow forecasting, and correlations across private market investments.
• Constructing simulation engines using Monte Carlo and scenario analysis to evaluate portfolio outcomes across economic environments.
• Partnering with private market data providers (Cambridge, MSCI/Burgiss/Preqin) and internal historical data to generate asset-class-level insight and research.
• Contributing to the build-out of private market risk measurement tools (factor models, de-smoothing volatility, manager/investment-level dispersion, stress testing).
• Collaborating closely with Portfolio Managers, fundamental investment analysts, and the risk management function.
• Contributing to thought leadership and whitepapers on private portfolio construction, design, and risk assessment.

Qualifications

• A Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative discipline.
• 4+ years of experience at a leading private markets investment manager, pension fund, sovereign wealth fund, endowment, OCIO, or asset manager.
• A strong grasp of private market cash flow dynamics — capital calls, distributions, NAV evolution, commitment pacing, and liquidity forecasting.
• Strong programming skills in SQL and Python, with experience in portfolio optimization software (Gurobi, Mosek, or similar) a plus.
• Familiarity with factor models used in portfolio construction and risk management (Bloomberg, Barra, Axioma, or similar).
• Working knowledge of portfolio optimization techniques targeting different outcomes — yield, volatility, MOIC maximization, downside protection — under complex constraints.
• Excellent communication skills, written and verbal, with the ability to present with clarity, precision, and conviction.
• Experience working with large datasets and data visualization tools (Tableau, Python, R).
• Strong self-management skills, with the ability to prioritize and independently drive complex projects to completion against deadlines, incorporating interim review checkpoints.