Executive Director

Morgan Stanley & Co. LLC seeks an Executive Director in New York, New York

Collaborate with clients on bespoke analysis to address specific questions around systematic investment solutions. Monitor and evaluate researched quantitative investment strategies.

Produce research reports to summarize and market the research efforts of the QIS Research team. Interact with clients to discuss group's research and help with specific investment solutions. Advise sales and trading in the space of quantitative investment strategies.

Review literature in the space of quantitative investment strategies. Conduct independent research in the space of quantitative investing across all asset classes with a focus on equities and the goal of developing new systemic strategies. Collaborate on research projects with other teams from the US research department. Review and use complex statistical functions, existing strategies, and composition data from Morgan Stanley's proprietary platform.

Salary: Expected base pay rates for the role will be between $300000 and $300000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Requirements:

Requires a Master's degree in Computer Science, Applied Mathematics, or a related field of study and three (3) years of experience in the position offered or three (3) years as a Vice President, Quantitative Researcher, Quantitative Strategist, or a closely related occupation. Requires three (3) years of experience with:

Python, R or Matlab; signal processing; portfolio construction; portfolio optimization; risk analysis; risk control using risk models; accounting; financial valuation; probability theory; option pricing; asset allocation; machine learning (Boosting); statistical analysis; regression analysis including Lasso and Ridge; report writing; research presentation to stakeholders. Requires one (1) year of experience with: programming with kdb+ and Q.

Qualified Applicants:

To apply, visit us at https://ms.taleo.net/careersection/2/jobsearch.ftl?lang=en Scroll down and enter 3244103 as the "Job Number" and click "Search jobs." No calls please. EOE