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Entry Level Algorithmic Trading Quant Jobs in New York

Wintermute

Graduate Algorithmic Trader 2027

New York, NY · On-site

$210K/yr

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 ...

Wintermute

Graduate Algorithmic Trader 2027

Manhattan, NY · On-site

$200 - $250/hr

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 ...

Wintermute

Graduate Algorithmic Trader 2027

New York, NY · On-site

$210K/yr

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 ...

Royal Bank of Canada

Credit Algo Quant

Manhattan, NY · On-site

$85K - $160K/yr

Provision of quantitative tools, analysis, and support to the GSP algorithmic trading desks. Development, delivery and support of advanced mathematical and data driven models for credit electronic ...

Royal Bank of Canada

Credit Algo Quant

New York, NY · On-site

$85K - $160K/yr

Provision of quantitative tools, analysis, and support to the GSP algorithmic trading desks. Development, delivery and support of advanced mathematical and data driven models for credit electronic ...

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 ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

Research and implement algorithmic trading strategies. * Analyze large data sets using advanced statistical and quantitative techniques to identify trading opportunities. * * Develop a deep ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Experience with programmatic statistical analysis and quantitative / analytic skills. * High level ...

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Entry Level Algorithmic Trading Quant information

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?

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 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 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 September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

GBM - Public, ETF Trading, Vice President - New York

New York, NY

Goldman Sachs, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs, Inc.external

Full-time

Re-posted yesterday

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

90th of 176 rated banks

Job description

About the Role: We are seeking a highly skilled and motivated Systematic ETF Trader to join our dynamic trading team. The ideal candidate will be responsible for developing, testing, and executing systematic trading strategies focused on Exchange-Traded Funds (ETFs) across various asset classes. This is an excellent opportunity for a quantitative professional with a passion for financial markets and algorithmic trading.

Key Responsibilities:

  • Strategy Development: Design, develop, and implement algorithmic trading strategies that trade ETFs across global markets.
  • Data Analysis & Modeling: Utilize historical and real-time market data to identify inefficiencies and create predictive models that inform trading decisions.
  • Backtesting & Optimization: Conduct rigorous backtesting of trading strategies to ensure robustness and optimize for risk-adjusted returns.
  • Execution: Manage and execute trades through automated systems, ensuring minimal slippage, transaction costs, and market impact.
  • Risk Management: Monitor and manage trading risks, including market risk, liquidity risk, and operational risk, ensuring compliance with risk guidelines and limits.
  • Performance Analysis: Track and analyze the performance of strategies, identify areas for improvement, and implement iterative changes to enhance profitability and performance.
  • Collaboration: Work closely with quantitative researchers, data scientists, and other traders to refine strategies and improve performance.
  • Technology Integration: Leverage advanced tools and platforms for data analysis, strategy development, and execution (e.g., Python, SQL, MATLAB, etc.).

Requirements:

  • Education: Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or a related field. 
  • Experience: Proven experience (2+ years) as a quantitative trader, systematic trader, or similar role, with a strong focus on ETFs and algorithmic trading.
  • Technical Skills: Proficiency in programming languages such as Python, C++, Java, or similar, along with experience in financial modeling, data analysis, and backtesting.
  • Quantitative Skills: Strong background in statistics, econometrics, or machine learning techniques, with the ability to apply them to trading strategies.
  • Market Knowledge: Deep understanding of financial markets, especially ETFs, including structure, liquidity, and market microstructure.
  • Problem-Solving: Strong analytical and problem-solving skills with a keen ability to think critically and adapt to evolving market conditions.
  • Communication: Strong verbal and written communication skills for collaborating across teams and presenting findings to stakeholders.

The expected base salary for this New York, New York, United States-based position is $150,000-$300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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