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How much do entry level algorithmic trading jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level algorithmic trading in the United States is $22.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.76 per hour, depending on experience, location, and employer.

How much does a first year trader make?

A first-year entry-level algorithmic trader typically earns between $70,000 and $120,000 annually, including base salary and bonuses, depending on the firm, location, and performance. Compensation often increases with experience, technical skills, and successful trading strategies.

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

To thrive as an Entry Level Algorithmic Trader, you need a solid understanding of quantitative analysis, statistics, and programming, often backed by a degree in finance, math, computer science, or a related field. Familiarity with programming languages like Python or C++, trading platforms, and market data systems is typically required. Strong problem-solving abilities, attention to detail, and the capacity to work under pressure are standout soft skills. These skills and qualities are crucial for developing, testing, and executing trading strategies efficiently and accurately in fast-paced financial markets.

What is an entry level algorithmic trading job?

An entry level algorithmic trading job typically involves helping to design, implement, and test automated trading strategies that buy and sell financial instruments in markets based on pre-defined algorithms. Professionals in this role usually work with programming languages such as Python or C++, analyze market data, and collaborate with quantitative analysts or senior traders. Entry-level positions often focus on supporting the development process, monitoring trading systems, and troubleshooting issues. These roles provide an excellent starting point for those interested in finance and technology, offering exposure to both financial markets and advanced programming.

Can beginners learn algorithmic trading?

Entry level algorithmic trading roles typically require a strong foundation in programming, mathematics, and finance. Beginners can learn algorithmic trading through online courses, tutorials, and practice with trading platforms that support algorithm development, but gaining proficiency takes time and consistent effort. Familiarity with programming languages like Python and understanding trading strategies are essential for entry into this field.

How to get an entry level trading job?

To secure an entry level algorithmic trading position, candidates should have a strong foundation in programming languages such as Python or C++, knowledge of financial markets, and quantitative skills. Internships, relevant coursework, and certifications like the CFA or CQF can improve prospects, along with demonstrating proficiency in data analysis and trading platforms.

What are some common challenges faced by entry-level algorithmic traders, and how can they be overcome?

Entry-level algorithmic traders often encounter challenges such as understanding complex market data, adapting to fast-paced environments, and debugging trading algorithms under time constraints. Collaborating closely with more experienced traders and developers, regularly reviewing code, and participating in knowledge-sharing sessions can help overcome these hurdles. Continuous learning and hands-on practice are crucial to building the confidence and technical proficiency needed to succeed in this dynamic field.

How to get a job in algorithmic trading?

To get a job in entry-level algorithmic trading, candidates should have a strong foundation in programming languages such as Python or C++, knowledge of financial markets, and understanding of trading algorithms. Gaining experience through internships, completing relevant coursework or certifications, and developing a portfolio of coding projects can improve prospects. Familiarity with trading platforms and quantitative analysis tools is also beneficial.
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Entry Level Algorithmic Trading jobs near you
Infographic showing various Entry Level Algorithmic Trading job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $46,753 per year, or $22.5 per hour.

Software Engineer - Trading System Developer

XTX Markets

New York, NY • On-site

$250/day

Full-time

Medical, Retirement

Posted 1 hour ago

Job description

The Firm
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.
We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.
XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.
At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.
The Role
The OTC Trading Development team is currently looking to hire an experienced developer focused on trading system development.
The Team:
  • Architects, implements and maintains a diverse set of trading systems: whilst ETFs will be the immediate focus for this position, the team works to build a wide range of systems which span prop trading on venue and OTC liquidity provision platforms across other asset classes (primarily Equities, FX and Crypto).
  • Receives reference implementations of models from quants, hard control requirements from Risk and Compliance, and system ergonomics requests from Trading Analysts, often working closely with those teams to find the best direction.
  • Is highly autonomous in how we work, maximising safety and velocity. We build and maintain multiple trading systems with a fraction of the headcount of our competitors, so it's critical we can eliminate bureaucracy.
  • This will be the team's first hire in New York. This role will involve working on our ETF trading system. The role will require close platform with stakeholders to the system in NYC e.g. Business Development, as well as with OTC's developers in London.
  • There are no out-of-hours support responsibilities involved in this role.
  • There may be an occasional requirement for travel to our London offices.

The Technology:
  • Consists of high-performance trading venue integrations, fair value generation, trading algorithms, risk controls and real time UIs implemented from business requirements.
  • Is predominantly implemented in Kotlin, with limited amounts of C++. Older parts of the codebase may use Python or Java; this is a decreasing minority.
  • Is tailored to a wide range of latency and throughput requirements. Where necessary we use a thread-per-core architecture, implement large parts of the network stack and integrate with network card APIs directly.

AttributesSomeone that would be an excellent fit:
  • Is an experienced coder, with a solid understanding of Computer Science fundamentals.
  • Has several years of experience working in Kotlin or other object-oriented languages like Java, C++, or C#.
  • Knows how to build technology quickly and safely using a variety of testing methods.
  • Unblocks the team with code reviews that prioritise correctness over style preferences.
  • Has experience in systems with requirements of microseconds per request or gigabits per second per thread.
  • A well-founded understanding of ETFs is desirable, though we are open to candidates with any domain knowledge, experience or evidence of interest within finance.

Benefits
  • Extensive medical and wellness benefits including gym membership.
  • Breakfast and lunch provided daily.
  • Beautiful Hudson Yards office.
  • 25 days paid holiday per year + statutory holiday and paid sick days.
  • Generous 401k contributions.
  • We work 4 days per week in the office, 1 from home unless stated otherwise.

The base salary range for this role is between $200,000 to $300,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated.

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