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Verition Fund Management

Quant Developer

Reposted 15 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
Develop high-performance C++ trading systems for systematic commodities strategies, optimize low-latency systems, and ensure robust market data handling.
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Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking an experienced Quantitative Developer to partner directly with a Systematic Macro Portfolio Manager, focusing on the design and optimization of low-latency trading systems. This role will concentrate on building high-performance C++ infrastructure for real-time market data ingestion, signal evaluation, and order execution across major futures exchanges. The ideal candidate has hands-on experience with exchange connectivity, latency-sensitive systems, and production trading environments.

Responsibilities:

  • Design, develop, and optimize high-performance C++ trading systems for systematic commodities strategies.
  • Build and maintain real-time market data handlers, signal evaluation pipelines, and order execution components.
  • Identify and eliminate latency bottlenecks across the trading stack (data ingestion, strategy evaluation, execution).
  • Develop and support direct connectivity to major futures exchanges (e.g., CME, ICE, Eurex, LME).
  • Work with exchange protocols, contract specifications, calendars, and roll logic.
  • Apply deep understanding of futures market microstructure to improve execution quality and reduce slippage.
  • Profile and tune systems at the CPU, memory, and network level to achieve predictable, low-latency performance.
  • Implement monitoring, alerting, and recovery mechanisms for live trading systems.
  • Participate in on-call rotation for production support during trading hours.
  • Work closely with the Portfolio Manager to translate research ideas into latency-aware production code.
  • Support rapid iteration of strategies while maintaining engineering rigor and production safety.

Qualifications:

  • 4+ years of experience as a Quant Developer, Low-Latency Trading Engineer, or similar role.
  • Expert-level C++ programming skills, with strong understanding of performance-critical code design.
  • Hands-on experience working with futures exchanges and listed derivatives.
  • Deep familiarity with low-latency system design, including concurrency, memory management, and network I/O.
  • Strong understanding of futures trading mechanics (expiries, rolls, margining, exchange rules).
  • Experience working in Linux production environments.
  • Experience with exchange-native market data and order entry protocols.
  • Familiarity with kernel bypass, multicast market data, or performance-optimized networking.
  • Python experience for research tooling or offline analysis.
  • Exposure to systematic commodities trading strategies.

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