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Algorithmic Trading Jobs (NOW HIRING)

Hyphen Connect Limited

$109K - $149K/yr

Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic execution tools for the cryptocurrency markets. In this role, you will focus on creating ultra-low ...

DRW

Senior UX Designer (Algorithmic Trading)

Chicago, IL · On-site

$150K - $225K/yr

We are seeking a Senior UX Designer to join our algorithmic trading team and lead the creation of our next generation of user interfaces. This role is for our Chicago office only. 5 days a week in ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site

We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional ...

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How much do algorithmic trading jobs pay per year?

As of Jun 4, 2026, the average yearly pay for algorithmic trading in the United States is $85,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $91,000.00 per year, depending on experience, location, and employer.

What Is Algorithmic Trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

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Algorithmic Trading jobs near you

Senior Low-Latency Trading Systems Engineer

Hyphen Connect Limited

On-site

$109K - $149K/yr

Other

Posted 26 days ago

Job description

Summary: Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic execution tools for the cryptocurrency markets. In this role, you will focus on creating ultra-low-latency execution engines using C++ to enhance trading strategies and performance.

Responsibilities:

  • Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution.
  • Optimize and enhance existing trading strategies and systems.
  • Collaborate with quantitative researchers and traders to implement new strategies.
  • Troubleshoot, test, and maintain high-performance trading applications.
  • Stay updated with the latest developments in crypto markets and HFT technologies.

Required skills:

  • Expert-level proficiency in C++ or Rust programming.
  • Strong background in high-frequency trading (HFT) or market making.
  • Experience with low-latency system design and optimization.
  • Solid understanding of algorithmic trading strategies and cryptocurrency markets.
  • Excellent problem-solving skills and attention to detail.

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