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The Cypress Group - New York, NY

posted 2 months ago

Full-time
New York, NY
Miscellaneous Manufacturing

About the position

The Quant Developer role within the Statistical Modelling and Development (SM&D) team at a leading financial institution focuses on enhancing electronic trading activities. The position involves developing high-performance frameworks and algorithms to provide liquidity to clients, while collaborating with various stakeholders to manage risk and improve transactional efficiency.

Responsibilities

  • Develop high-performance framework code to build an advanced electronic trading platform.
  • Create efficient two-way data pipelines connecting internal Trading Systems and Algo/Pricing Engines.
  • Assist in the setup of a back testing framework to evaluate algorithm and pricing engine performance.
  • Develop code for consuming and caching real-time data streams for decision-making.
  • Collaborate effectively with sales, trading desks, product teams, control functions, and IT teams to manage risk and enhance transactional efficiency.

Requirements

  • A degree (Bachelors, Masters, or Ph.D.) in a quantitative discipline such as Mathematics, Finance, Machine Learning/AI, Computer Science, Statistics, Physics, Chemistry, or Operations Research or Electrical Engineering.
  • A minimum of four to five years of experience in electronic trading algorithm development across various asset classes.
  • Proficiency in writing high-performance code, with expertise in Java programming.
  • Strong background in handling and analyzing real-time data and large datasets.
  • Basic knowledge of probability, statistics, and machine learning.
  • Excellent communication skills, both verbal and written.
  • Proven track record of collaborating effectively within global teams.

Benefits

  • Flexible working arrangements to integrate professional and personal commitments.
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