Equity Risk Analyst — Python-Driven Portfolio Optimization

Morgan Stanley; New York (NY); On-site; USD 100,000 - 200,000; Full time

Job summary

Morgan Stanley Investment Management seeks an experienced professional to support the equity portfolio management team, focusing on portfolio construction and risk management. Responsibilities include portfolio and investment analysis, risk oversight, and portfolio construction support using risk models, quantitative analysis, optimization tools, and tax management.

The candidate will run and assess trade simulations, develop custom portfolio optimizations with Python-based software, and build

Qualifications

• 5+ years of investment experience required.

Responsibilities

• Provide investment and portfolio risk analysis and support to portfolio managers
• Utilize quantitative research and analysis to generate actionable investment insights and support portfolio construction decisions
• Run and assess trade simulations and create custom portfolio optimizations using Python-based software
• Build and maintain custom tools to source, analyze, and monitor data and portfolios, and to surface insights and support the investment process
• Develop, automate, and continuously improve portfolio management workflows and decision frameworks by identifying and implementing innovative, scalable solutions
• Collaborate with technology, sales, operations, fund administration, and marketing teams

Skills

Investment experience

Data analysis

Quantitative analysis

Equity risk models

Communication skills

Collaboration

Problem solving

Analytical thinking

Education

CFA or PhD or advanced quantitative degree

Tools

Python

FactSet

Bloomberg

Job description

Morgan Stanley Investment Management seeks an experienced professional to support the equity portfolio management team, focusing on portfolio construction and risk management. Responsibilities include portfolio and investment analysis, risk oversight, and portfolio construction support using risk models, quantitative analysis, optimization tools, and tax management.

The candidate will run and assess trade simulations, develop custom portfolio optimizations with Python-based software, and build