SVP C14 Senior C++ Market Data Engineer

Dexian

$210K — $235K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of C++ development in high-frequency trading environments
  • Expert in modern C++ (C++17/C++20) and performance optimization techniques
  • Strong expertise in low-level systems programming and high-performance networking
  • Proven history of optimizing market data feed handlers for equities exchanges
  • Comprehensive understanding of equities market structure and data processing challenges
  • Demonstrated technical leadership with mentoring and scalable system delivery
  • Exceptional analytical skills for troubleshooting complex production issues
  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred

Responsibilities

  • Lead architectural vision and strategic direction for market data platform
  • Ensure flawless execution of ultra-low-latency market data systems
  • Engineer and safeguard data layers supporting electronic trading
  • Collaborate with algorithmic teams to enhance speed and data quality
  • Drive enhancements to market data systems and optimize feed handlers
  • Mentor engineering team and guide technical project direction
  • Diagnose and resolve production issues in time-critical environments

Benefits

  • Hybrid work model with three days onsite
  • Permanent employment
  • Opportunity for technical leadership and influence
  • Engagement with cutting-edge market data technology
  • Access to a dynamic and fast-paced trading environment
Full Job Description
Role: SVP, Senior C++ Market Data Engineer - Equities Electronic Trading

Employment Type: Full-Time

Location: Jersey City, NJ or NYC, NY

Work Model: Hybrid, 3 days onsite

Duration: Permanent

Salary Range: $210K to $235K/PA (Base salary)

Job Description:

We are seeking an exceptional and highly seasoned C++ engineer to assume the role of Senior Vice President, leading our Equities Market Data engineering team.

This is a senior leadership position responsible for the architectural vision, strategic direction, and flawless execution of our global, ultra-low-latency market data platform.

The primary objective of this role is to engineer and safeguard the foundational data layer that powers our entire electronic trading franchise, ensuring our algorithmic and quantitative strategies have a decisive speed and data quality advantage in the market.

Qualifications:
  • 10+ years of hands-on C++ development experience, with a strong track record of designing, developing, and maintaining mission-critical, ultra-low-latency systems within high-frequency trading (HFT) environments.
  • Expert proficiency in modern C++ (C++17/C++20), including advanced knowledge of templates, multithreading, concurrency, memory management, and performance optimization techniques.
  • Strong expertise in low-level systems programming, network protocols (TCP/IP, UDP, multicast), and high-performance networking technologies, including kernel-bypass frameworks.
  • Proven experience building, enhancing, and optimizing market data feed handlers for major equities exchanges, with deep familiarity with exchange-specific market data protocols.
  • Comprehensive understanding of equities market structure, market data normalization, and the challenges associated with processing large-scale, latency-sensitive financial data.
  • Demonstrated success in technical leadership and solution architecture, including mentoring engineers, driving technical direction, and delivering scalable, high-performance systems.
  • Exceptional analytical and problem-solving skills, with the ability to troubleshoot, diagnose, and resolve complex production issues in fast-paced, time-critical environments.
  • Bachelor's degree in Computer Science, Engineering, or a related discipline required; Master's degree preferred.
  • Experience with Linux-based trading infrastructure and performance tuning.
  • Familiarity with exchange connectivity, order routing systems, and real-time market data distribution platforms.
  • Strong understanding of systems performance profiling, benchmarking, and latency measurement methodologies

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