Morgan Stanley & Co. LLC seeks a Vice President, Strats in New York, New York
Develop quantitative models using econometrics and machine learning algorithms to produce analytic tools to support the credit trading business. Analyze client holding data for multiple-use cases including block trades, portfolio capital optimization, and unified client views for front end software applications. Complete sector-level deep dive analytics and commentary of market trends and client activities and subsequent automation. Build infrastructures to cross reference multiple external and internal corporate credit datasets. Enhance and refine the portfolio trade identification algorithm which requires the ability of building machine learning models and the use of client holdings data.
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Salary: Expected base pay rates for the role will be between $200,000 and $250,000 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 Financial Engineering, Statistics, Mathematics, Computer Science, or a related field and two (2) years of experience in the position offered or two (2) years as an Associate, Research Professional, or a related role. Requires two (2) years of experience with: Institutional client portfolio analytics using quantitative and statistical analysis including machine learning, statistical modelling, and data mining; working as a corporate credit strategist in a global financial institution; macro credit products including credit default swap index, index options, index tranche, total return swap, and credit exchange-traded funds; implementing and designing mathematical models; mathematics including partial differential equations, and monte-carlo simulation; and programming principles including data structures, and non-linear optimization numerical techniques. Requires any amount of experience with: Mainstream holdings data including Lipper, N-PORT, NAIC, IPREO and HDS; data for corporate credit including Bloomberg, TRACE and Markit; large data programming in KDB/Q and SQL; and front-end web development in Python, JavaScript and Highcharts.
Qualified Applicants:
To apply, visit us at https://ms.taleo.net/careersection/2/jobsearch.ftl?lang=en Scroll down and enter 3253162 as the "Job Number" and click "Search jobs." No calls please. EOE