Quant Developer, Trading Systems (Rust and C++)
New York City AreaFull-timePosted 5d ago
About the role
Quant engineering role between research and production, turning research specs into live trading signals and owning low-latency trading system components from market data to market making engine, with leadership responsibility over the engineering team.
Responsibilities
- Turn research specs into production signals, including basis and FX pairs, nowcast fits, index futures pricing and momentum
- Build and optimize low latency components in C++ and Rust, from market data publishers and book feeds to the market making engine itself
- Own exchange connectivity across crypto and traditional venues, covering order books, rate limit pacing, funding and borrow data, and order reconciliation
- Debug and harden production systems, including memory profiling, reconnect and heartbeat logic, and crash investigation
- Co lead our cloud infrastructure with an existing senior engineer
- Lead the engineering team day to day through specs, code review across our repos and onboarding of junior engineers
Qualifications
- Must have previous experience at a trading firm or building some kind of trading system at the professional level, side projects do not alone qualify
- 2 to 5 years of production experience in C++ and Rust, with real depth in at least one and working fluency in the other
- A track record of shipping low latency or performance sensitive trading systems
- Strong grasp of concurrency, async programming, networking and performance trade offs on Linux
- Comfort with Python and Go across tooling, gateways and research integration
- The drive to lead, meaning you're ready to own objectives, direct others and make calls without waiting to be told
Skills
Required:C++RustConcurrency and async programmingLinux performance
Nice to have:PythonGo
Benefits
- Meaningful equity and performance upside
- A live trading environment with a high engineering bar
- Direct ownership of systems that drive firm PnL
- Close work with the founders and quant team
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Blockhouse
Optimize Trade Execution With Predictive Analytics
Reduce trading costs by 20% with institutional-grade trading analytics and execution algorithms. Get real-time TCA insights and optimize your trading performance.
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