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Internship Algorithmic Trading Programmer Jobs in Newark, NJ

Navtech, Inc.

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

Algo Java Developer Location: New York, NY (Remote until Covid is resolved, then in office ... The Cash Equities Algorithmic Trading Technology team runs the execution stack from client FIX ...

DV Trading

Software Developer (New York)

New York, NY · On-site

$150K - $250K/yr

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Galaxy

VP, Algo Trading / SOR Developer

New York, NY · On-site

Who You Are: We're seeking an experienced Algo Trading / SOR Developer to join our team in New York ... In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping ...

DV Trading

Software Developer (New York)

New York, NY · On-site

$150K - $250K/yr

We are seeking a highly motivated, quick-learning developer for our algorithmic software ... Interest in algorithmic trading * Experience doing highly performant, low-level C++ work Benefits:

Albert Invent

DeFi Algorithmic Trader

Manhattan, NY · On-site

$80 - $120/hr

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ...

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Internship Algorithmic Trading Programmer information

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How much do internship algorithmic trading programmer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship algorithmic trading programmer in Newark, NJ is $38.57, according to ZipRecruiter salary data. Most workers in this role earn between $31.92 and $45.24 per hour, depending on experience, location, and employer.

What is an internship algorithmic trading programmer?

Internship Algorithmic Trading Programmers are students or early-career professionals who work as interns in financial firms to help develop, test, and implement automated trading strategies using programming and quantitative analysis. They typically work under the supervision of experienced traders or quantitative analysts, using programming languages like Python, C++, or Java to code algorithms that trade financial instruments. These internships provide valuable hands-on experience in financial markets, algorithm development, and risk management, helping interns build the skills needed for a career in quantitative finance or trading technology.

What types of projects and tasks can I expect to work on as an internship algorithmic trading programmer?

As an Internship Algorithmic Trading Programmer, you can expect to work on tasks such as coding and backtesting trading algorithms, analyzing financial market data, and optimizing strategies for performance. Interns often collaborate closely with quantitative analysts and senior developers, learning industry-standard tools and platforms. Your daily responsibilities may include debugging code, running simulations, and documenting your findings. This hands-on experience provides excellent exposure to the fast-paced trading environment and is a valuable stepping stone to full-time roles in quantitative finance.

What are the key skills and qualifications needed to thrive as an internship algorithmic trading programmer, and why are they important?

To thrive as an Internship Algorithmic Trading Programmer, you need strong programming skills (typically in Python, C++, or Java), a solid grasp of algorithms, and foundational knowledge in mathematics or finance, often supported by ongoing studies in computer science, engineering, or related fields. Familiarity with version control systems (like Git), data analysis tools (such as Pandas or NumPy), and exposure to trading platforms or APIs is advantageous. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with teams and troubleshooting complex problems. These skills ensure the development of robust, efficient trading algorithms and contribute to the competitiveness and reliability of trading strategies.

What is the difference between Internship Algorithmic Trading Programmer vs Quantitative Trading Intern?

AspectInternship Algorithmic Trading ProgrammerQuantitative Trading Intern
Required CredentialsBasic programming skills, coursework in algorithms or financeStrong math, statistics, or finance background
Work EnvironmentDeveloping trading algorithms, coding, testing strategiesData analysis, model development, research
Industry UsageCommon in trading firms, hedge funds, investment banksSimilar, often overlapping roles in finance firms

Both roles involve finance and programming, but the Internship Algorithmic Trading Programmer focuses more on coding and implementing trading algorithms, while the Quantitative Trading Intern emphasizes data analysis and quantitative research. The roles are closely related and often overlap in industry usage.

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Internship Algorithmic Trading Programmer jobs near you

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

Goldman Sachs, Inc.

New York, NY • On-site

Full-time

Re-posted 25 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 174 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.

What Goldman Sachs employees say

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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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