Chloe Grace Moretz

Software Engineer

Seattle, Washington, United States6 yrs 1 mo experience
Highly Stable

Key Highlights

  • Expert in system-level architecture for trading systems.
  • Proven track record in latency optimization and risk management.
  • Strong collaboration with cross-functional teams for strategic alignment.
Stackforce AI infers this person is a Fintech expert specializing in low-latency trading systems architecture.

Contact

Skills

Core Skills

System-level ArchitectureLow-latency Trading SystemsElectronic Trading Systems

Other Skills

Risk-Aware System DesignLatency & Tail-Latency OptimizationC++Market Data PipelinesQuoting & Execution PipelinesScheduling & Queueing SystemsDeterministic Systems DesignPerformance-Critical SystemsFPGA IntegrationBinary Protocol DesignExchange Connectivity & ProtocolsOperating SystemsMultithreading & ConcurrencyLow-Level Data StructuresOptions Market Structure

About

I work on system-level architecture and performance strategy for latency-sensitive trading systems. My focus is diagnosing emergent bottlenecks, understanding end-to-end flows, and redesigning pipelines where determinism, tail latency, and risk constraints drive decisions. I work closely with engineering, quantitative, FPGA, and business stakeholders to align technical trade-offs with organizational objectives.

Experience

6 yrs 1 mo
Total Experience
6 yrs 1 mo
Average Tenure
6 yrs 1 mo
Current Experience

Mm

Principal Engineer - Trading Systems, Strategies, Algos

Mar 2020Present · 6 yrs 1 mo

  • System-level design and evolution of performance-critical trading systems, balancing determinism, latency, risk, and business objectives across market data, pricing, quoting, and execution.
  • Owned end-to-end quoting and trading pipeline design — from market data ingestion through pricing, quote state management, scheduling, queuing, sending, and response handling.
  • Identified systemic latency and determinism failures caused by task prioritization, scheduling, and data-flow interactions; drove architectural redesigns to remove tail-latency and starvation under load.
  • Designed trading architectures separating quote streams and sessions by instrument, risk profile, and priority to improve isolation and predictability.
  • Developed novel algorithms and data layouts for quote allocation and cancellation based on risk, base-price movement, and market conditions.
  • Led design of low-latency data structures and binary protocols supporting ~10,000 instruments with continuous quote reinsertion at PCIe-bound latencies.
  • Integrated FPGA-accelerated triggers and cancel logic for selected instruments, achieving nanosecond-scale response on base-price moves.
  • Designed extensible compile-time libraries and metaprogramming frameworks enabling flexible exchange protocol support with minimal runtime branching.
  • Built systems supporting parallel multi-instance deployment and dynamic exchange protocol switching with minimal code changes.
  • Collaborated closely with pricing, FPGA, quantitative, and business stakeholders to align system behavior with trading strategy and risk objectives.
  • Implemented core components in C++ with FPGA integration where appropriate.
Electronic Trading SystemsLow-Latency Trading SystemsRisk-Aware System DesignSystem-Level ArchitectureLatency & Tail-Latency OptimizationC++

Education

New York University

Bachelor's degree — Computer Science

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