Job title: Quantitative Engineer KDB/C++- Execution
Job type: Permanent
Emp type: Full-time
Industry: Investment Management
Expertise: Quantitative Developers Quantitative Researchers Quantitative Traders
Skills: Kdb TCA analysis Quantitative researcher C++ Equities algo future FX execution trading
Salary type: Annual
Salary: Negotiable
Location: New York, Broadway, United States
Job published: 07/09/2020
Job ID: 32429

Job Description

Quantitative Engineer Q/KDB C++ Liquid Assets, Futures, Commodities, FX – Hedge Fund


A global prestigious hedge fund is hiring within a high performing trading team, the candidate must have excellent technical, quantitative skills, and worked directly on distributed trading algorithmic trading strategies in an execution background, with a positive track record. Working for a 20 billion USD global hedge fund, in a high performing trading team.


  • Building high-performance/low-latency trading algos and components for both live trading and simulation in Equities, Futures, Options, and FX.
  • Working with trading in developing HFT and mid-frequency trading algos.
  • Responsible for algo development, execution.
  •  Achieving a trading system robustness through automated reconciliation and system-wide alerts and fuses.


Desirable Candidates


  • Analyze large data sets using advanced statistical methods to improve trading across various non-equity products.
  • Develop a strong understanding of market structure of various exchanges and asset classes.
  • Propose and implement improvements on the current execution infrastructure.



  • 2-5 year experience in electronic trading or algo execution, familiar with TCA analysis.
  • Programming proficiency in Q/KDB and C++.
  • Experience with equities futures/FX
  • Experience as a quant developer or researcher with strong execution skills on a front office Algo trading team
  • Strong communication skills and ability to work well with colleagues across multiple regions.
  • Strong attention to detail.
  • Undergraduate (higher degrees preferred) in Computer Science or a similar discipline.