ZipRecruiter

Log In

1

Algorithmic Trading Jobs in New York (NOW HIRING)

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 ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$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 ...

Wintermute

Prediction Markets Trader

New York, NY · On-site

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms ...

Wintermute

Prediction Markets Trader

New York, NY

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets. We provide liquidity algorithmically across all major cryptocurrency exchanges and trading platforms ...

Precharm

Founding Engineer

Manhattan, NY · On-site

Precharm is an algorithmic trading firm that provides liquidity on prediction markets. They are seeking a founding engineer to build critical systems for their trading business, including exchange ...

previous page

Showing results 41-60

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in New York

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 Aug 9, 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.

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.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

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
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:
Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in New York as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $93,813 per year, or $45.1 per hour.

Staff Software Engineer (Low Latency Trading)

Kforce Technology Staffing

Jersey City, NJ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Jersey City, NJ that is seeking a Staff Software Engineer (Low Latency Trading) to play a key role in the architecture, design and development of a next-generation global electronic trading platform. The Staff Software Engineer will build scalable, high-performance systems that support algorithmic trading, smart order routing (SOR), and real-time market data processing.
Key Responsibilities:
* Architect, design and develop a high-throughput, enterprise-grade algorithmic trading platform
* Define the architecture and core components of an Algo Platform, including strategy orchestration, order lifecycle management, market connectivity, and execution analytics
* Design and implement execution algorithms (e.g., TWAP, VWAP, and other participation or liquidity-seeking strategies) with a focus on performance, determinism, and extensibility
* Development of distributed, event-driven systems using Java and high-performance messaging technologies
* Design and optimize Smart Order Routing (SOR) logic across multiple trading venues
* Leverage cloud technologies (AWS) to build scalable, secure, and fault-tolerant platform components where appropriate
REQUIREMENTS:
* Demonstrated expertise in the design and development of low-latency trading systems
* Strong hands-on Java development skills
* Strong API and distributed systems design experience
* Knowledge of execution algorithms, including TWAP, VWAP, or similar strategies
* Knowledge of Smart Order Routing (SOR), market structure, and order execution workflows
* Experience with microservices architecture and cloud-based deployments (AWS preferred)
* Strong collaboration and communication skills
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Apply