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Entry Level Algorithmic Trading Quant Jobs in New York

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Wintermute

Algorithmic Trader

New York, NY

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Wintermute

Algorithmic Trader

New York, NY · On-site

Excellent quantitative and analytical skills - we will test! * Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity ...

UBS

Electronic Trading Quantitative Analyst

New York, NY · On-site

$145K - $172K/yr

... algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the ... Your team You'll be working in the Quantitative Analysis & Development team in New York. The team ...

Jane Street

Quantitative Trader

New York, NY · On-site

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

Jane Street

Quantitative Trader

New York, NY

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

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Entry Level Algorithmic Trading Quant information

What are some common challenges faced by entry-level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What does an Entry Level Algorithmic Trading Quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an Entry Level Algorithmic Trading Quant, and why are they important?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in New York? The most popular types of Algorithmic Trading Quant jobs in New York are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in New York? For Entry Level Algorithmic Trading Quant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs in New York look for? The top searched job categories for Entry Level Algorithmic Trading Quant jobs in New York are:
Entry Level Algorithmic Trading Quant jobs near you
Infographic showing various Entry Level Algorithmic Trading Quant job openings in New York as of July 2026, with employment types broken down into 35% Locum Tenens, 1% As Needed, 55% Full Time, 8% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Quantitative Trading & Research - Rates - Quantitative Developer - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 22 hours ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to various clients. As a Quantitative Developer, you will design and deliver production systems for systematic trading in global Rates markets, collaborating closely with researchers and traders to enhance trading capabilities.
Responsibilities:
• Design, build and maintain algorithmic trading systems and execution platforms for systematic Rates trading
• Implement quantitative models in production, translating research prototypes into robust, scalable strategies
• Collaborate with traders and researchers to refine models, quoting, hedging, risk management and allocation processes
• Engineer high-quality, testable and observable code for reliability in live markets
• Optimise performance, latency and throughput of critical trading components
• Automate workflows and deployments to improve speed, safety and repeatability across the stack
• Monitor, diagnose and resolve production issues, contributing to continuous improvement
• Document designs, interfaces and operating procedures to support transparency and knowledge sharing
Qualifications:
Required:
• Proficiency in programming with Java, C++ or another object-oriented language
• Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools
• Ability to translate quantitative models into reliable, maintainable production code
• Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers and software engineers
• High attention to detail and a commitment to quality in fast-paced environments
• Interest in financial markets and systematic trading
• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or another quantitative field
Preferred:
• Knowledge of Fixed Income and Rates markets
• Experience with high-frequency, algorithmic or electronic trading, including low-latency and performance-sensitive systems
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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