C++ Market Data Engineer

Trexquant Investment • Stamford, CT • 4h ago

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run.

Responsibilities

Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE).

Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate.

Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems.

Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance.

Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages.

Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning.

Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading.

Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services.

Requirements

BS/MS/PhD in Computer Science, Electrical Engineering, or related field.

3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems.

Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH).

Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations.

Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches.

Comfort with scripting in Python for prototyping, testing, and ops automation.

Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment.

Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP).

Benefits

Competitive salary, plus bonus based on individual and company performance.

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