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Hft Trading Jobs in Springfield, NJ (NOW HIRING)

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 ...

Wintermute

Algorithmic Trader

New York, NY

  • Medical

... 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 ...

Wintermute

Algorithmic Trader

New York, NY · On-site

  • Medical

... 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 ...

Nastech Global

Network Engineer

Jersey City, NJ · On-site

Knowledge of Algorithmic/DMA/HFT and trading platforms and how the trade lifecycle operates *Solid understanding of market venue, exchange protocols (binary, FIX, ITCH,OUCH, Pillar, etc.) and trading ...

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All JobsHft Trading JobsHft Trading Jobs in Springfield, NJ

Hft Trading information

See Springfield, NJ salary details

$55.2K

$105.7K

$204.1K

How much do hft trading jobs pay per year?

As of Aug 16, 2026, the average yearly pay for hft trading in Springfield, NJ is $105,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $188,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

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.

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. are common among HFT traders.

What job categories do people searching Hft Trading jobs in Springfield, NJ look for?

The top searched job categories for Hft Trading jobs in Springfield, NJ are:

What cities near Springfield, NJ are hiring for Hft Trading jobs?

Cities near Springfield, NJ with the most Hft Trading job openings:

Hft Trading jobs near you

Senior High Frequency C++ Engineer

Millennium

Manhattan, NY • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Millennium is a leading firm in the finance sector, focusing on systematic and high-frequency trading solutions. They are seeking a Senior High Frequency C++ Engineer to design and build low-latency components for trading and research infrastructure, while collaborating with system architects and quantitative researchers.
Responsibilities:
• Build low-latency infrastructure for order entry, market data, exchange simulators, feature extraction, strategy container, and other systems.
• Build convenience layer tools and services to facilitate trading teams onboarding at MLP.
• Provide level 2 support for the systems in production.
• Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
• Opportunities for growth in terms of leadership as effort expands.
• Will liaise with many other MLP teams depending on project focus.
Qualifications:
Required:
• 5+ years with a well-regarded HFT group, delivering production-grade, low-latency systems.
• Demonstrated expertise in C++ and Python for production, low‑latency systems.
• Deep familiarity with low-level Systems: OS tuning, networking stack, user‑space drivers, and kernel-bypass patterns.
• Strong understanding of the HFT quantitative research pipeline.
• Experience with HPC grids (scheduling, storage, job management) for research and production workloads.
• Proven ability to navigate large organizations, create cross-team synergies, and influence outcomes.
• High accountability and ownership; able to self-manage time, set priorities, and meet deadlines.
• Potential to provide technical leadership and manage a small team
Preferred:
• Cloud experience (AWS, GCP) is a plus
Company:
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $92 billion in assets. Founded in 1989, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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