2

Entry Level High Frequency Trading Software Engineer Jobs in New York

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

FPGA Engineer

New York, NY · On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

FPGA Engineer

New York, NY · On-site

$180K - $280K/yr

... high frequency trading. We are looking for talented hardware engineers with a track record of ... You probably enjoy solving complex system problems where hardware and software come together to ...

Quantitative Researcher

Manhattan, NY · On-site

$120 - $230/hr

Develop and backtest high-frequency trading strategies * Analyze massive tick-level datasets to ... Exceptional programming skills in Python (Pandas, NumPy) and C++ * Deep understanding of statistics ...

... standards of high-frequency trading firms in traditional markets and the innovative and ... Proficiency in programming with at least one of Rust or Python. * Comfortable working on Linux ...

... standards of high-frequency trading firms in traditional markets and the innovative and ... Proficiency in programming with at least one of Rust or Python. * Comfortable working on Linux ...

Showing results 21-40

Entry Level High Frequency Trading Software Engineer information

What does an entry level high frequency trading software engineer do?

An Entry Level High Frequency Trading (HFT) Software Engineer designs, develops, and maintains software systems that enable firms to execute trades at extremely high speeds in financial markets. Their work focuses on optimizing algorithms, improving code efficiency, and reducing system latency to gain a competitive edge. They often work closely with quantitative analysts and traders to implement and test trading strategies, maintain trading infrastructure, and troubleshoot issues that arise during live trading sessions.

What are some common challenges faced by entry level high frequency trading software engineers, and how can they prepare for them?

Entry-level software engineers in high frequency trading (HFT) often face challenges such as optimizing code for ultra-low latency, understanding complex financial products, and adapting to a fast-paced, highly collaborative environment. To prepare, candidates should develop strong programming skills (especially in C++ or Python), gain familiarity with network protocols, and practice writing performance-critical code. Engaging in mock coding interviews, studying real-world trading systems, and seeking mentorship from experienced engineers can also help new hires adjust quickly and excel in their roles.

What are the key skills and qualifications needed to thrive as an entry level high frequency trading software engineer, and why are they important?

To thrive as an Entry Level High Frequency Trading Software Engineer, you need strong programming skills in languages such as C++ or Java, a solid foundation in algorithms, data structures, and a degree in computer science or a related field. Familiarity with Linux/Unix systems, version control tools like Git, and experience with low-latency networking are typically required, while knowledge of financial markets or trading systems is a plus. Outstanding problem-solving abilities, attention to detail, and the capacity to work well under pressure are crucial soft skills. These competencies are vital to developing, optimizing, and maintaining robust, high-performance trading systems in a fast-paced, competitive environment.

What is the difference between Entry Level High Frequency Trading Software Engineer vs Quantitative Trading Analyst?

AspectEntry Level High Frequency Trading Software EngineerQuantitative Trading Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related field; programming skills in C++, PythonBachelor's in Finance, Economics, or Mathematics; strong analytical and statistical skills
Work EnvironmentFast-paced trading firms, technology-driven teams, focus on software developmentTrading desks, research teams, focus on data analysis and strategy development
Employer & Industry UsageFinancial firms specializing in high-frequency trading, hedge funds, proprietary trading firmsInvestment banks, hedge funds, trading firms, financial institutions

While both roles operate within the trading industry, the Entry Level High Frequency Trading Software Engineer primarily focuses on developing and maintaining trading algorithms and infrastructure, whereas the Quantitative Trading Analyst emphasizes analyzing data and developing trading strategies. Both require strong technical skills, but their daily tasks and focus areas differ significantly.

What are the most commonly searched types of High Frequency Trading Software Engineer jobs in New York?

The most popular types of High Frequency Trading Software Engineer jobs in New York are:

What are popular job titles related to Entry Level High Frequency Trading Software Engineer jobs in New York?

For Entry Level High Frequency Trading Software Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level High Frequency Trading Software Engineer jobs in New York look for?

The top searched job categories for Entry Level High Frequency Trading Software Engineer jobs in New York are:

Infographic showing various Entry Level High Frequency Trading Software Engineer job openings in New York as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Quantitative Researcher - Internship - Summer 2027

InfiniteQuant

New York, NY • On-site

$6.0K - $10K/mo

Full-time, Temporary, Internship

Re-posted 8 days ago


Key responsibilities

  • Analyze order book data and market trade data to generate high-frequency signals.

  • Construct alpha signals or monetize strategies for latency-sensitive trading strategies.

  • Engage in sports and prediction market trading by monitoring market data and providing insights.


Job description

Company Description

InfiniteQuant is a global quantitative trading and technology company. 

As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets.

Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house.

Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development.
Website: www.infquant.com
LinkedIn: linkedin.com/company/infinitequant

Job Description

InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. 

We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options.

Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field.

Tracks

Track1 - High-Frequency Trading

  • Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance.
  • Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.

Track2 - Prediction Market Trading

  • Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques.
  • Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes.

Benefits

  • Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training.
  • USA or UAE working visa sponsorship for qualified candidates if needed.
  • Career workshop.
  • Team outing event and team dinner.
  • Earn performance-based bonus.
  • Corporate swag
  • Well-stocked office kitchen.

Salary Range

$6,000-$10,000 per month

Location

  • USA: Downtown Manhattan, New York
  • UAE: Jumeirah Lakes Towers (JLT), Dubai
  • Hong Kong

Interview Process

The interview process includes 1-2 rounds with Quants, a coding test, and concludes with a final interview. 

Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds.

Other Frequently Asked Questions & Answers
Please refer to Google Doc https://drive.google.com/file/d/1EhoCCfqRnrNC8S5lbx6x49JulW970-V9/view?usp=sharing

    Qualifications
    • Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure. 
    • Experience in leading HFT prop shops, trading firms, or hedge funds.
    • Work or internship experience in crypto trading is a plus.
    • Proficiency in data-driven research, advanced statistics, and strategy development is expected. 
    • Strong Python skills, particularly with NumPy and pandas. 
    • Proficiency in C++.
    • Machine Learning / Deep Learning experience
    • competitive experience on Kaggle or similar platforms is a big plus
    Additional Information

    InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool.