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Hft Trading Jobs (NOW HIRING)

LeoForce

Senior Trading Systems Engineer

Chicago, IL · On-site

$275 - $450/hr

Minimum 5+ years building high-frequency trading (HFT) or market-making systems. * Mindset: Obsession with clean code, memory management, and hardware-level optimization. A bit about us Specialized ...

Noise Labs

Quant Trader

Manhattan, NY · On-site

$100 - $150/hr

Qualifications * 3+ years of experience in trading, quantitative research, market making, exchange operations, HFT, or a similarly rigorous environment. * Strong understanding of derivatives ...

Noise Labs Inc

Quant Trader

New York, NY · On-site

$100K - $150K/yr

Qualifications * 3+ years of experience in trading, quantitative research, market making, exchange operations, HFT, or a similarly rigorous environment. * Strong understanding of derivatives ...

P2P

Algorithmic Trader

Manhattan, NY · On-site

$90 - $120/hr

... about HFT, liquidity provision and crypto trading. After a short training period with the global trading team, you'll be working directly on P&L impacting projects relating to Wintermute USA ...

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Hft Trading information

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$53K

$101.5K

$196K

How much do hft trading jobs pay per year?

As of Sep 6, 2026, the average yearly pay for hft trading in the United States is $101,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $181,000.00 per year, depending on experience, location, and employer.

What is HFT trading?

HFT trading, or High-Frequency Trading, is a form of algorithmic trading that uses powerful computers and sophisticated algorithms to execute a large number of orders at extremely high speeds. HFT traders take advantage of very small price discrepancies that exist for only milliseconds. This approach relies heavily on technology, market data, and low-latency connections to financial exchanges. HFT is commonly used by proprietary trading firms and institutional investors to provide liquidity and capitalize on short-term market inefficiencies.

What are the key skills and qualifications needed to thrive as an HFT professional?

To excel in HFT trading, you need strong quantitative and analytical skills, a background in computer science, mathematics, or finance, and often an advanced degree. Expertise in programming languages such as C++, Python, or Java, and familiarity with trading platforms, low-latency systems, and market data feeds are typically required. Exceptional problem-solving abilities, attention to detail, and the ability to work well under pressure help professionals stand out in this fast-paced field. These skills and qualities are vital to develop, implement, and monitor complex trading algorithms in highly competitive financial markets.

What are some common challenges faced by professionals in HFT trading roles?

Professionals in high-frequency trading (HFT) often encounter challenges such as managing extremely low-latency systems, adapting to rapidly changing market conditions, and continuously optimizing trading algorithms for speed and efficiency. The work environment is fast-paced and requires constant collaboration with software engineers, data scientists, and other traders to stay ahead of the competition. Success in this role depends on sharp analytical skills, resilience under pressure, and the ability to quickly learn and implement new technologies or strategies.

What is the difference between Hft Trading vs Quant Trader?

AspectHft TradingQuant Trader
Required CredentialsTypically a degree in finance, mathematics, or computer science; often certifications like CFA or FRMSimilar credentials; advanced degrees (Master's or PhD) in quantitative fields are common
Work EnvironmentFast-paced trading firms or hedge funds, often with high-pressure environmentsResearch-focused, often in financial institutions or hedge funds, with emphasis on model development
Employer & Industry UsageUsed in high-frequency trading firms, hedge funds, and proprietary trading desksCommon in quantitative hedge funds, investment banks, and proprietary trading firms

Hft Trading and Quant Trader roles share similar educational backgrounds and work environments, focusing on financial markets and quantitative analysis. However, Hft Trading emphasizes executing high-speed trades using algorithms, while Quant Traders focus on developing trading models and strategies. Both roles are integral to trading firms but differ in daily tasks and technical focus.

How to get into HFT trading?

To get into high-frequency trading (HFT), candidates typically need a strong background in computer science, mathematics, or finance, along with programming skills in languages like C++ or Python. Knowledge of market microstructure, low-latency systems, and trading algorithms is essential, and many professionals gain experience through internships or roles in quantitative trading firms. Advanced degrees such as a master's or Ph.D. can also improve prospects in this competitive field.

Is an Hft trading job stressful?

HFT trading jobs can be stressful due to the fast-paced environment, high stakes, and the need for quick decision-making. Traders often work long hours and must stay focused on market fluctuations, utilizing advanced tools and algorithms to execute trades efficiently.
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Hft Trading jobs near you
Infographic showing various Hft Trading job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 5% Temporary, and 11% Contract. Highlights an 73% In-person, 16% Hybrid, and 11% Remote job distribution, with an average salary of $101,533 per year, or $48.8 per hour.

Senior Infrastructure Engineer - Trading Systems

FalconX

New York, NY • On-site

$179K - $218K/yr

Full-time

Re-posted yesterday

Job description

Responsibilities

  • Low-Latency Architecture: Design, provision, and maintain ultra-low latency AWS and hybrid network topologies, including VPCs, exchange gateways, and regional deployment expansions.
  • Performance Tuning: Optimize Linux OS kernels and compute performance using CPU isolation (isolcpus), AWS Cluster Placement Groups, and enhanced networking (ENA/ENI).
  • Infrastructure as Code: Drive infrastructure automation, provisioning, and configuration management using Terraform and Ansible.
  • Platform Scaling: Architect infrastructure to support expanding Exchange Market Making (EMM), Project Market Making (PMM), and TradFi exchange convergences.
  • Observability & Reliability: Build telemetry and monitoring pipelines using Grafana Cloud and Alloy to ensure continuous visibility into platform performance.
  • Technical Leadership: Guide the technical roadmap, mentor junior engineers, and act as an escalation lead for critical system incidents.

Key Qualifications

  • 5+ years of experience in Infrastructure Engineering, Systems Engineering, or SRE, with a focus on low-latency electronic trading environments.
  • Deep Linux Internals Expertise: Advanced experience with kernel-level performance tuning, memory management, and network I/O optimization (isolcpus, network profiling, ring buffers).
  • AWS Low-Latency Design: Demonstrated experience leveraging AWS low-latency constructs (Placement Groups, ENA/ENI, high-performance EC2 instance optimization).
  • Trading Protocols & Infrastructure: Experience with FIX protocol, Aeron messaging, or low-latency colocation connectivity.
  • HFT & Market Workflows: Familiarity with high-frequency trading (HFT) workflows or crypto exchange API integrations.
  • Automation Mastery: Strong proficiency in Terraform for cloud infrastructure and Ansible for OS configuration and patching.
  • Networking Fundamentals: Deep understanding of physical network topologies, TCP/IP, UDP, and low-latency network routing.
  • Containers & CI/CD: Hands-on experience with Docker, Docker Compose, Jenkins, and modern deployment pipelines.
  • Observability Ecosystem: Experience setting up production monitoring using Grafana Cloud, Alloy, or Prometheus.

Bonus Points 

  • Hands-on scripting capability in Python/Bash, with development experience in Rust or Java preferred.
  • Experience with hardware acceleration technologies (FPGAs, SmartNICs) or custom network card driver tuning.
  • Knowledge of PTP (Precision Time Protocol) / IEEE 1588 or clock synchronization setup for high-precision trade timestamping.

The base pay for this role is expected to be between $179,000 - $218,000 in New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

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