• Competitive
  • New York, NY, États-Unis
  • CDI, Plein-temps
  • Credit Suisse -
  • 17 juin 19

Market Data Developer (#116954)

We Offer
The Fund's investment objective is to deliver a consistent, low volatility, positive return stream with limited drawdowns.

The Investment Manager seeks to achieve this objective by developing and running a variety of quantitative, systematic trading and investment strategies. Specifically, the Investment Manager's personnel formulate hypotheses about the drivers of asset returns and apply a rigorous scientific approach to design, develop, implement and manage strategies around these hypotheses.

At a high level, the trading strategies can be classified as:

  • Systematic Strategies - These capitalize on opportunities that are identified through quantitative analysis of a wide array of historical data. Portfolios are optimized to balance Sharpe Ratio, return, and trading costs.
  • Market Liquidity Strategies - These react to real-time demand for securities by providing liquidity to offset such short-term demand. They use appropriate hedging instruments to offset risk and liquidate the combined risk exposures. over a medium-term timeframe.
  • The QT Fund leverages the SMG teams' core expertise by focusing on. strategies with typical holding periods ranging from


  • The chance to work in a dynamic trading environment, on the trading desk as an application developer and support staff member for the QT Fund Ltd.
  • Ideal opportunity for someone with engineering and or a quantitative background who wants to work directly with the front office.
  • Staff member will design, develop and implement systematic tools and strategies for the QT fund.
  • Staff member will with the portfolio managers and desk management to design/develop automated solutions for trading, risk monitoring, research processes ect.
  • Interact with core IT infrastructure teams in developing and implementing solutions to help grow the QT fund.

You Offer

  • Strong C++ and Linux programming.
  • Knowledge of Python programming is a plus.
  • Excellent computer science skillset with strong data structures and algorithms knowledge
  • Deep knowledge of the multithreaded programming and Linux internals.
  • Low latency programming experience.
  • Good knowledge of Exchange Market data feeds, feed handlers, etc - essential
  • Experience with the Exchange Connectivity protocols is a plus.
  • Strong work ethic, highly organized, detail - oriented, and motivated to drive projects
  • Strong communication skill
  • Team player with a positive attitude.