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Algorithmic Trading Jobs in New York (NOW HIRING)

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 ...

Navtech, Inc.

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

The Cash Equities Algorithmic Trading Technology team runs the execution stack from client FIX message in through to order message on the exchange. * The team develops and maintains its own ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

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 ...

UBS

Electronic Trading Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

Your role Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies? We're looking for someone to analyze, adapt and improve ...

DV Trading

Software Developer (New York)

New York, NY

$150K - $250K/yr

Learn proprietary methodologies and trading systems that support an established low-latency, algorithmic trading business * Improve and extend the core trading platform, enhance existing trades, and ...

DV Trading

Software Developer (New York)

New York, NY · On-site

$150K - $250K/yr

Learn proprietary methodologies and trading systems that support an established low-latency, algorithmic trading business * Improve and extend the core trading platform, enhance existing trades, and ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Candidates with experience in transaction cost analysis, or conducting algorithmic trading research, or developing execution algorithms at a reputable buy-side firm, hedge fund or top tier investment ...

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Algorithmic Trading information

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$81.5K

$93.8K

$102.8K

How much do algorithmic trading jobs pay per year?

As of Jul 19, 2026, the average yearly pay for algorithmic trading in New York is $93,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $99,600.00 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

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.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in New York as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $93,813 per year, or $45.1 per hour.
Software Developer (New York)

Software Developer (New York)

DV Trading LLC

Manhattan, NY • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
DV Trading LLC is a proprietary trading firm that has rapidly scaled since its inception. They are seeking a highly motivated developer to join their algorithmic software development team, where the main responsibilities include developing and improving their low-latency trading platform.
Responsibilities:
• Work alongside senior traders and experienced software developers
• Learn proprietary methodologies and trading systems that support an established low-latency, algorithmic trading business
• Improve and extend the core trading platform, enhance existing trades, and identify and pursue new opportunities
• Further responsibilities may be driven by the individual's interests and specific skills
Qualifications:
Required:
• 0-7 years of experience in a related field
• Highly proficient in C++; experience with modern C++ (such as smart pointers)
• Strong work ethic, detail oriented, and ability to learn quickly in a fast-paced environment
• Interest in algorithmic trading
• Experience doing highly performant, low-level C++ work
Company:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Founded in 2006, the company is headquartered in Chicago, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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