Hybrid Quant Investment Engineer for Systematic Portfolios

Morgan Stanley; Minneapolis (MN); Hybrid; USD 70,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

Job summary

Morgan Stanley's Parametric unit seeks a quantitative investment professional to turn research into systematic, rules-based equity portfolios. You will support Investment Strategy, client service, and thought leadership while expanding subject matter expertise.

Successful candidates will be intellectually curious, self-driven, and able to work in a dynamic, client-facing environment with strong coding skills in Python or R.

Qualifications

• Bachelor's degree in a quantitative or financial discipline is required.
• 4+ years of investment industry experience.
• Ability to communicate complex quantitative and investment concepts.
• Knowledge of probability, statistics, matrix algebra and mean-variance optimization.
• Experience with equities and equity factor models.
• Experience with Factset, Bloomberg, or Refinitiv / Eikon.
• Advanced knowledge of Excel, including VBA.

Responsibilities

• Work with senior team members to answer complex investment questions.
• Contribute to development of proprietary investment strategies and client-directed mandates; maintain related documentation.
• Prepare ad hoc analyses such as performance attributions, risk decompositions and back-tests.
• Contribute to maintenance and enhancement of proprietary investment strategies and client-directed mandates.
• Generate data and analytics for Investment Committee meetings and Marketing content.
• Utilize internal Python and R libraries to support business activities.
• Uphold department reputation with professionalism, accuracy, and responsiveness.

Skills

Strong communication

Analytical writing

Attention to detail

Initiative

Problem solving

Education

Bachelor's degree in quantitative/financial discipline

Masters degree or CFA preferred

Tools

Factset

Bloomberg

Refinitiv / Eikon

Excel (VBA)

Github

SQL

Snowflake

Job description

Morgan Stanley's Parametric unit seeks a quantitative investment professional to turn research into systematic, rules-based equity portfolios. You will support Investment Strategy, client service, and thought leadership while expanding subject matter expertise.

Successful candidates will be intellectually curious, self-driven, and able to work in a dynamic, client-facing environment with strong coding skills in Python or R.