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Algorithmic Trading Jobs in New York (NOW HIRING)

Wintermute is not just a trading company, it is one the most prominent and influential players in ... What will you work on We are looking for an Algorithmic Trader with strong coding skills (Python ...

Wintermute is not just a trading company, it is one the most prominent and influential players in ... What will you work on We are looking for an Algorithmic Trader with strong coding skills (Python ...

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Algorithmic Trading information

See New York salary details

$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.
What are the most commonly searched types of Algorithmic Trading jobs in New York? The most popular types of Algorithmic Trading jobs in New York are:
What are popular job titles related to Algorithmic Trading jobs in New York? For Algorithmic Trading jobs in New York, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in New York look for? The top searched job categories for Algorithmic Trading jobs in New York are:
What cities in New York are hiring for Algorithmic Trading jobs? Cities in New York with the most Algorithmic Trading job openings:
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.
Quantitative Researcher, Algorithmic Trading

Quantitative Researcher, Algorithmic Trading

GTS

Manhattan, NY • Hybrid

$150K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Job description

Overview

The algorithmic trading team at GTS is seeking applications for the role of Quant Researcher. The successful candidate will be part of the team evaluating, optimizing and producing analytics to improve the performance of our algorithmic execution strategies. They will work closely with traders and developers to refine these processes in support of revenue-generating trading algorithms. The algorithmic trading team at GTS produces execution algorithms that execute in the market and internalize flows within GTS. The quantitative researchers represent a critical piece of this operation.

The successful candidate will work with subject matter experts in addition to senior traders and developers. They will develop a deep understanding of algorithmic trading strategies, market microstructure, trading infrastructure, trading system and evaluation metrics. Candidates should be ambitious and motivated. They need to be capable of both designing and implementing processes that can be automated and scaled, handling production problems that arise in real-time, and over time contributing views on how these complex systems should be best organized and managed.

GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology.  With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today's financial markets. GTS's electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization. For more information on GTS, please visit www.gtsx.com.

Responsibilities

Sample Problems/Projects:

  • The algorithms produce security specific quantitative params to define how they trade:
    • Predict intraday quant params from historical data.
    • Predict intraday volume patterns and velocity.
    • Identify sparse data symbols and create models to handle.
    • Design communication model between predictions and trading system.
  • Analyze algorithmic outcomes to propose improvements to scheduling and order placement.
  • Research alpha models used for pricing, venue selection, and internalization decisions.
  • Research and propose new internalization models to improve algorithmic PnL.

This is a an opportunity to join a new green field team in our algorithmic trading business.  In this role you will be collaborating closely with traders on proprietary trading opportunities. 

Qualifications
  • 3-5 years experience with algorithmic trading systems and models is preferred.
  • B.S./M.S. from a leading university in a STEM discipline.
  • Deep understanding and ability in mathematics and statistics.
  • Excellent programming skills in Python.
  • Strong proficiency in data analytics and quantitative techniques.
  • Attention to detail, exceptional organization, and proclivity for automation.
  • Excellent communication skills: ability to express complex concepts in simple terms.
  • Ability to work independently and as part of a team in a fast-paced environment.

We're proud to employ leading talent in the industry and work to ensure our employees enjoy a high quality of life. 

Please note: The use of AI tools during interviews is strictly prohibited, unless explicitly agreed upon.  

In accordance with New York City's Pay Transparency Law, the base salary range for this role is $150,000 to $225,000. Base salary does not include other forms of compensation or benefits. 

Benefits: 

Core Benefits: Medical, Dental, and Vision coverage with generous employer contribution for employees and dependents. 401k match. 

Perks: Daily Meal Allowance, Equinox Corporate Membership Rate, Snacks, Office Game Room, Casual Dress. 

Hybrid Work Policy: 4 Days a Week in office, Fridays can be worked from home. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability. 

Unsolicited resumes: 

We do not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with GTS. 

Employment Type: FULL_TIME