Quantitative Portfolio Risk & Analytics Associate

PowerToFly

New York (NY)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Morgan Stanley Investment Management seeks an Associate to join the Central Trading & Risk Management team, focusing on risk analytics, portfolio construction, and tool development for its market-neutral equity platform.

The role blends quantitative research with hands-on portfolio analysis, requiring strong Python/SQL skills, data handling, and collaboration with portfolio managers to improve investment decisions and execution.

Qualifications

2-5 years of relevant job experience, preferably on the buy side in a 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 working 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.
Excellent verbal communication and relationship management skills.
Ability to work both independently and be a strong team contributor with proactive drive to deliver results.
Outstanding attention to detail and committed to process and related improvements.
Flexible, quick learner with the ability to multi-task.
Advanced degree in quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, or a closely related field from an accredited university.

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.