Quantitative Risk & Portfolio Analytics Associate

Morgan Stanley; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Morgan Stanley Investment Management (MSIM) seeks an Associate for the Central Trading & Risk Management team to optimize portfolio construction, manage risk, and develop quantitative tools. This role offers broad exposure to the investment process and collaboration with portfolio managers across multiple strategies.

The successful candidate will analyze performance, build research infrastructure, and contribute to quantitative research initiatives within a market-neutral equity platform.

Qualifications

• 2-5 years of relevant job experience in a buy-side multi-manager platform.
• Strong understanding of equity markets, equity index futures, and market-neutral portfolio construction.
• Experience with equity risk models such as MSCI Barra, Axioma, or in-house models.
• Deep knowledge of statistical methods and quantitative techniques.
• Proficiency with Python and SQL.
• Experience with large financial datasets and time series.
• Experience with portfolio optimization, stress testing, and simulations.
• Demonstrated interest in financial markets and a passion for quantitative investing.

Responsibilities

• Perform factor attribution and portfolio exposure analysis across managers and strategies.
• Develop and enhance portfolio construction and optimization methodologies.
• Research new alpha signals and evaluate interactions with portfolio positioning.
• Design quantitative tools supporting investment decision making.
• Conduct stress testing and scenario analysis across portfolios.
• Monitor fund-wide exposures across portfolios and identify concentrations or emerging risks.
• Partner with trading to improve execution and implementation efficiency.
• Monitor market developments and proactively communicate portfolio risks, opportunities, and positioning implications to portfolio managers and senior leadership.
• Analyze portfolio performance and attribute returns across factors, sectors, themes, and individual positions.
• Design and develop Python-based analytical tools, research infrastructure, and automation that improve portfolio analytics and investment workflows.

Skills

Python

SQL

Equity markets

Risk models

Quantitative investing

Education

Advanced degree in quantitative discipline

Job description

Morgan Stanley Investment Management (MSIM) seeks an Associate for the Central Trading & Risk Management team to optimize portfolio construction, manage risk, and develop quantitative tools. This role offers broad exposure to the investment process and collaboration with portfolio managers across multiple strategies.

The successful candidate will analyze performance, build research infrastructure, and contribute to quantitative research initiatives within a market-neutral equity platform.