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Entry Level Algorithmic Trading Quant Jobs (NOW HIRING)

Galaxy

VP, Quantitative Developer

New York, NY · On-site

$175K - $225K/yr

Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets * Collaborate with traders and quantitative analysts to understand trading strategies and translate ...

Eagle Seven

Junior Trader

Chicago, IL · On-site

Executing algorithmic trading strategies in accordance with the trading desk's objectives ... Assisting quantitative traders in performing research for new trading strategies Requirements

Jane Street

Quantitative Trader

New York, NY · On-site

... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ... A critical thinker with a strong quantitative mind * A collaborative problem-solver who enjoys ...

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 ...

Jane Street

Quantitative Trader

New York, NY · On-site

... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ... A critical thinker with a strong quantitative mind * A collaborative problem-solver who enjoys ...

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Entry Level Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do entry level algorithmic trading quant jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

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.

More about Entry Level Algorithmic Trading Quant jobs
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Entry Level Algorithmic Trading Quant jobs near you
Infographic showing various Entry Level Algorithmic Trading Quant job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Production Support Engineer - Trading Systems

Qube Research & Technologies

Houston, TX • On-site

$40 - $52.25/hr

Other

Posted 14 days ago

Job description

Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors.

Q-Tx is affiliated with Qube Research & Technologies, a global quantitative and systematic investment manager.

Your future role within Q-Tx:

  • Your core objective will be to provide high-touch user support to the Q-Tx team who trade across major US markets.
  • Provide prompt user support for investigations & resolution of any system issues impacting front office trading flows.
  • Liaise with internal and external teams on a day-to-day basis to provide effective management of the QRT trading infrastructure, resolving issues through to completion.
  • Support trading platforms on different OS environments - Windows & Linux (Manual trading application, Algorithmic trading platforms, Exchange/FIX connectivity system, and Risk systems).
  • Ensure all trading components are up and running before the start of each trading day and support the release management process ensuring stability of the production environment.
  • Provide maintenance and support of static databases and supporting processes.
  • Develop tools to continuously improve our ability to monitor the trading environment.
  • Evening/weekend support requirements (normally through remote access).

Your present skillset:

  • >2yrs of Bash, Command Dos, Powershell or Python scripting experience is essential.
  • Minimum 3yrs in a support role.
  • Excellent problem solving and highly effective business analytics capabilities required.
  • Must have a keen focus on ownership of issues and commitment to resolving them.
  • Excellent written and oral communication skills are essential.
  • Expert windows desktop and server administration experience is essential.
  • High level of Linux OS experience is essential.
  • Expert relational database skills (in order of preference: SQL Server, Postgres) are essential.
  • Experience of managing the expectations of Front Office traders and senior management is desirable.
  • Knowledge of Equities, Futures, Commodities and FX asset classes is an advantage.
  • Knowledge of market data feed handlers and execution feeds is an advantage.
  • Knowledge of market-making/liquidity provision and algorithmic trading is an advantage.

Apply