Senior Quantitative Risk Analyst, Equity Portfolios

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

Job summary

Morgan Stanley Investment Management’s Specialty Solutions Group is seeking an experienced professional to support the equity portfolio management team in New York. You will focus on portfolio construction, risk management, and advanced analytics using Python and risk models across large data sets.

You will run simulations, optimize portfolios, automate workflows, and collaborate with technology, sales, operations, and marketing to drive investment performance and efficiency.

Qualifications

• 5+ years of relevant investment experience.
• CFA designation, PhD, or other relevant advanced degree in finance, economics, mathematics, statistics, engineering, computer science, or a related quantitative discipline preferred.
• Strong analytical and critical thinking skills, with a demonstrated ability to perform quantitative analysis while functioning independently and with high degree of accuracy.
• Strong problem-solving skills, with the ability to take ambiguous problems and develop practical, creative solutions.
• Technically proficient, with strong coding skills (Python or other programming languages) and the ability to work with large and varied datasets and implement technical solutions.
• Understanding of equity factor investing, portfolio construction, and risk attribution. Working knowledge of equity risk models and portfolio optimization preferred (such as Barra or Axioma).
• Proactive and self-motivated, with an excellent work ethic and the ability to manage multiple priorities in a fast-paced environment.
• Strong communication skills, verbal and written.
• Experience using FactSet and Bloomberg preferred.

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

Python coding

Quantitative analysis

Portfolio risk management

Communication

Problem solving

Education

CFA designation or PhD in quantitative field

Tools

Python

FactSet

Bloomberg

Barra

Axioma

Job description

Morgan Stanley Investment Management’s Specialty Solutions Group is seeking an experienced professional to support the equity portfolio management team in New York. You will focus on portfolio construction, risk management, and advanced analytics using Python and risk models across large data sets.

You will run simulations, optimize portfolios, automate workflows, and collaborate with technology, sales, operations, and marketing to drive investment performance and efficiency.