Quantitative Risk & Portfolio Analytics - Associate
About The Position
Morgan Stanley Investment Management (MSIM) is seeking an Associate for the Central Trading & Risk Management team of a multi-manager, market-neutral equity hedge fund. The team works directly with portfolio managers to optimize portfolio construction, manage risk, develop quantitative investment tools, and improve investment performance across the platform. This analytical role combines risk management, quantitative research, portfolio construction, and data analysis, with exposure to investment decisions across portfolio managers and strategies and an opportunity to help shape the platform’s quantitative infrastructure. The Associate will analyze portfolio exposures and performance, develop portfolio construction and optimization methods, research alpha signals, and create Python-based tools and infrastructure to support investment decisions and workflows. The role also includes scenario and stress testing, fund-wide risk monitoring, and collaboration with trading and portfolio managers to assess market developments, risks, opportunities, and implementation efficiency. The ideal candidate is intellectually curious and collaborative, enjoys solving complex investment problems using data and quantitative methods, and can translate sophisticated analysis into actionable insights in a fast-paced investment environment.
Requirements
- 2–5 years of relevant job experience.
- 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 independently and contribute effectively to a team, with proactive drive to deliver results.
- Strong attention to detail and commitment to process and related improvements.
- Flexibility, ability to learn quickly, and ability to multitask.
- Advanced degree in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, or a closely related field from an accredited university.
Nice To Haves
- Buy-side experience, preferably on a multi-manager platform.
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 their interactions with portfolio positioning.
- Design quantitative tools to support investment decision making.
- Conduct stress testing and scenario analysis across portfolios.
- Monitor fund-wide portfolio exposures and identify concentrations or emerging risks.
- Partner with trading to improve execution and implementation efficiency.
- Monitor market developments and 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 to improve portfolio analytics and investment workflows.
Benefits
- Comprehensive employee benefits and perks.
- Benefits and support for employees and their families throughout their work-life journey.
- Opportunity to move across the business.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
