Quant Developer (EXPERIENCE AS QUANT DEVELOPER/RESEARCHER)

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Miami, FL, USA
In-Office or Remote
Senior level
Fintech • Software • Analytics • Financial Services
The Role
Build and optimize a low-latency, high-throughput analytics engine for HFT. Implement market-microstructure research, execution cost models, and order-flow analytics with HPC techniques and modular plugin-based architecture.
Summary Generated by Built In
NOTE: this is a non-salaried position. Equity offering only.
Who We Are
VisualHFT is an advanced analytics platform purpose-built for high-frequency trading environments. Designed for traders, quants, and financial engineers, we provide deep insights into execution quality, market microstructure, and real-time system performance — down to the microsecond.
As a pre-MVP, pre-revenue startup, we are crafting a precision toolset for modern electronic trading. We're building a platform that bridges HPC engineering with quantitative finance research, and this hire will be key to that effort.
Tasks
What We’re Looking For
* Deep understanding of market microstructure and electronic trading mechanics
* Strong experience in real-time or low-latency systems (C#, C++, or Rust preferred)
* Proven work in HPC optimization: parallelization, memory layout tuning, zero-GC systems
* Hands-on experience with financial research implementation (execution cost models, order flow analytics)
* Comfortable with modular, plugin-based system architectures and high-throughput data pipelines
Requirements
* Deep understanding of market microstructure and electronic trading mechanics
* Strong experience in real-time or low-latency systems (C#, C++, or Rust preferred)
* Proven work in HPC optimization: parallelization, memory layout tuning, zero-GC systems
* Hands-on experience with financial research implementation (execution cost models, order flow analytics)
* Comfortable with modular, plugin-based system architectures and high-throughput data pipelines
🌟 Bonus Points
* Experience in an HFT, market-making, or algo execution environment
* Familiarity with ITCH/FIX/OUCH protocols and exchange-specific microstructure behaviors
* Understanding of infrastructure monitoring in trading systems (latency breakdowns, tick-to-trade analysis)
* Exposure to quantitative strategy simulation and live production systems
Benefits
What We Offer
* Equity: 1.5%–2.0% equity with a 4-year vesting schedule (1-year cliff)
* Non salary until we get funded or revenue achieved
* Technical Leadership: Core contributor to the logic powering VisualHFT’s analytics engine
* Impact: Your work will be the foundation of VisualHFT’s edge in execution analytics and trading diagnostics
* Flexibility: Fully remote, async-friendly team distributed across time zones
* Vision: Build a toolset that becomes mission-critical to professional traders and quant funds
Apply now and help define the analytics backbone of the most powerful HFT diagnostics platform in the market.

Skills Required

  • Deep understanding of market microstructure and electronic trading mechanics
  • Strong experience in real-time or low-latency systems (C#, C++, or Rust preferred)
  • Proven work in HPC optimization: parallelization, memory layout tuning, zero-GC systems
  • Hands-on experience with financial research implementation (execution cost models, order flow analytics)
  • Comfortable with modular, plugin-based system architectures and high-throughput data pipelines
  • Experience in an HFT, market-making, or algo execution environment
  • Familiarity with ITCH/FIX/OUCH protocols and exchange-specific microstructure behaviors
  • Understanding of infrastructure monitoring in trading systems (latency breakdowns, tick-to-trade analysis)
  • Exposure to quantitative strategy simulation and live production systems
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The Company
6 Employees
Year Founded: 2024

What We Do

VisualHFT is a comprehensive real-time analytics platform designed for quantitative traders and financial analysts. It provides high-precision market microstructure analytics, infrastructure monitoring, and cross-venue intelligence to master electronic trading environments. The platform enables users to analyze order-flow dynamics, execution quality, and algorithmic behavior with microsecond accuracy, bridging the gap between high-performance computing and quantitative finance research.

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