Quant Developer, Trading Systems (Rust and C++)

Posted Yesterday
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Arena, Town of Middletown, NY, USA
In-Office
110K-160K Annually
Mid level
Artificial Intelligence • Fintech • Software • Analytics • Financial Services
The Role
Build and optimize low-latency trading systems in C++ and Rust, translating quantitative research into production signals. Responsibilities include exchange connectivity, market data feeds, order reconciliation, concurrency and performance optimization, production debugging, and infrastructure work across GCP and Kubernetes. The role also involves writing technical specifications, reviewing code, guiding engineers, and onboarding junior team members.
Summary Generated by Built In
Quant Dev, Trading Systems (Rust and C++)

Blockhouse, full time, NYC in person or hybrid preferred, remote within US time zones considered

 
About Blockhouse

Blockhouse gives institutional asset managers access to the kind of trading infrastructure that usually takes years and millions of dollars to build. Founded in 2022, we run a noncustodial platform where clients keep custody of their assets while they trade, hedge and compound portfolios across crypto and tokenized markets, from FX and equities to treasuries and compute futures. Alongside the platform we run live delta neutral funding rate and market making strategies with client capital across major venues, and we keep expanding into new frontier markets such as compute hedging.

 
The role

This is a quant engineering role at its core, sitting between research and production and owning the path from a researcher's spec to a live signal trading real capital. You'll work directly with the founders and our quant researchers, and although the role is open to engineers with 2 to 5 years of experience, we expect you to step up quickly, setting objectives, writing specs, breaking work into tickets and guiding the rest of the engineering team with your judgment.

 
What you'll do
  • 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

 
What we're looking for
  • 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

 
Nice to have
  • Experience integrating crypto or equities exchange APIs

  • Background in market making, HFT or execution systems

  • Familiarity with margin, funding and portfolio accounting across venues

  • Experience running trading infrastructure in the cloud

 
Why Blockhouse
  • Direct ownership of systems that drive firm PnL

  • Close work with the founders and quant team

  • Meaningful equity and performance upside

  • A live trading environment with a high engineering bar

Skills Required

  • 2 to 5 years of production experience in C++ and Rust, with deep expertise in at least one and working fluency in the other
  • Experience shipping low-latency or performance-sensitive systems
  • Strong understanding of concurrency, asynchronous programming, networking, and performance tradeoffs on Linux
  • Comfort with Python and Go for tooling, gateways, and research integration
  • Ability and willingness to own objectives, direct others, and make independent decisions
  • Experience integrating cryptocurrency or equities exchange APIs
  • Background in market making, high-frequency trading, or execution systems
  • Familiarity with margin, funding, and portfolio accounting across venues
  • Experience with Terraform, Kubernetes, Redpanda, or ClickHouse
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The Company
HQ: New York, New York
44 Employees
Year Founded: 2022

What We Do

Blockhouse is a financial data platform enhancing best execution with complex post-trade data visualizations and AI-powered analytics. Our technology enhances firms' best execution process - boosting execution efficiency and reducing transaction costs.

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