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.
- Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-Tax Commuter Benefits
Trexquant is an Equal Opportunity Employer
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
