VP, Algorithmic Trading Solutions Sales

Morgan Stanley

New York (NY)

On-site

USD 230,000 - 250,000

Full time

14 days+
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Job summary

Morgan Stanley is seeking a Vice President, Sales in New York, NY to engage external clients, present new advancements, and gather feedback on the firm's product line. You will formulate and validate strategy improvements, coordinate with internal teams, and deliver enhancements and new products.

The role requires a Master’s in a quantitative field and 5+ years of relevant experience, including expertise in trading systems, market microstructure, and data analysis.

Qualifications

  • Master's degree in a related field required.
  • Five years of experience in the offered role or as Algorithmic Trading Developer or related role.
  • Experience with trading systems and market microstructure is essential.

Responsibilities

  • Meet with external clients in New York to present advancements and collect feedback.
  • Coordinate with internal stakeholders to deliver improvements and new products.
  • Produce quantitative analysis of market performance of trading algorithms.
  • Own liquidity-seeking trading algorithms to support the Firm's Electronic Trading franchise.

Skills

Trading Systems
Trading Cost Analysis
Equity Market Microstructure
VWAP
TWAP
POV
Smart order routing
Market making
Statistical arbitrage
Cross-team collaboration
FIX protocol
Market Data architecture and design
Exchange Connectivity
Low-Latency Software and Hardware

Education

Master's in Financial Engineering / Computational Finance / Computer Science

Tools

KDB
Python

Job description

Morgan Stanley is seeking a Vice President, Sales in New York, NY to engage external clients, present new advancements, and gather feedback on the firm's product line. You will formulate and validate strategy improvements, coordinate with internal teams, and deliver enhancements and new products.

The role requires a Master’s in a quantitative field and 5+ years of relevant experience, including expertise in trading systems, market microstructure, and data analysis.

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