VisualHFT LLC
Quant Developer (MUST HAVE EXPERIENCE AS QUANT DEVELOPER/RESEARCHER)
Be an Early Applicant
Build and optimize low-latency, high-throughput analytics for HFT environments. Implement financial research (execution cost models, order flow analytics), architect modular plugin systems, and perform HPC tuning (parallelization, memory layout, zero-GC) to power real-time microsecond-resolution trading diagnostics.
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.
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.
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, install, and integrate aircraft mechanical systems and components. Create 3D CAD models, installation layouts, and detailed drawings. Manage PLM/BOM data, apply GD&T and tolerance stack-ups, support prototypes and production, perform root cause analysis, and collaborate across disciplines to ensure manufacturable, maintainable aircraft hardware.
Top Skills:
3DexperienceAsme Y14.5BomCatiaCreoEwisFeaGd&TNxPlmSolidworksTeamcenterWindchill
.png)
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Lead enterprise sales into large ranching businesses across Florida, driving full sales cycles from prospecting to negotiation, onboarding, and expansion. Build relationships with board-level stakeholders, collaborate cross-functionally to deliver value, forecast revenue, and develop scalable enterprise sales playbooks.
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Build and enhance AI and data solutions for insurance by collaborating with data architects, scientists, and engineers. Use AI-first tools and agents, design prompts, prototype generative AI, review AI-generated code for security and quality, track production trends, document patterns, participate in code reviews, and assist senior staff to scale AI capabilities across the platform.
Top Skills:
C#Ci/CdClaude CodeConfluenceConversational AiCursorGenerative AiGithub CopilotGoGCPJIRAPrompt DesignPythonReact
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
