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Entry Level Algorithmic Trading Quant Jobs (NOW HIRING)

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

Trading Interview

Quantitative Trader

Manhattan, NY · On-site

$150 - $250/hr

At Jane Street, quantitative traders identify market signals, analyze and execute strategies ... algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are ...

New

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 ...

Trading Interview

Graduate Quantitative Trader

Chicago, IL · On-site

$120 - $180/hr

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

New

Edgehog Trading

Quantitative Execution Trader

Chicago, IL · On-site

$128 - $173/hr

Manage pricing, positioning, and algorithmic trading activity across a range of options market ... Collaborate with quant researchers and engineers to develop new models using our proprietary ...

Trading Interview

$120 - $180/hr

As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing ... Develop, maintain, and improve trading strategies and algorithms * Solve complex problems to make a ...

New

Trading Interview

Quantitative Trader

Chicago, IL · On-site

$150 - $200/hr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the ...

New

Trading Interview

$150 - $200/hr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the ...

New

Trading Interview

$225 - $275/hr

We are looking for an Index Options Low-Latency Execution Quantitative Trader to join our team. IMC ... Specialised in algorithmic trading and advanced technology, we set the pace for the evolution of ...

New

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All JobsAlgorithmic Trading Quant JobsEntry Level Algorithmic Trading Quant Jobs

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 Aug 20, 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 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.

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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 August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Junior Algorithmic Trader

Grupo Oricteropo Tropical

Aguadilla, PR • On-site

$59K - $77K/yr

Full-time

Posted 17 days ago

Job description

Description

Our Algorithmic Traders use their expert understanding of the financial markets and market microstructure to develop relative value arbitrage trading software and build and improve trading strategies. As a Junior Algorithmic Trader, you will have the opportunity to experience relative value arbitrage trading paired with innovative software. You will partner with Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++). 

Responsibilities

  • Work with Senior Algorithmic Traders to assist and learn all facets of automated trading
  • Develop expertise in market microstructure, tick data, and automated trading systems
  • Learn and master object-oriented programming languages (C++ and Python)
  • Build and maintain trading quantitative model tools and analytics
  • Develop, code, maintain and support production quality automated trading software and strategies
  • Improve strategies and trade execution by performing post trade analyses and developing prediction models

Requirements

  • Pursuing a Bachelor's, Master's, or Doctorate in a technical field, such as but not limited to STEM or Finance, with a graduation date between December 2026 and Spring 2027, or 1-2 years of pertinent industry experience 
  • Required courses: Data structures, Probability, Statistics, and Linear Algebra
  • Minimum major GPA of 3.5/4 or equivalent scale
  • Proficiency and experience in object-oriented programming languages, C++, Python, and/or Java preferred 
  • Proficiency and experience in Linux scripting are a plus
  • Demonstrated passion for markets, finance, and trading, such as, but not limited t,o personal trading, participation in trading competitions, attendance at firm discovery days, industry-related student groups or clubs, and/or prior internship experience preferred 
  • Project or internship experience in data analysis, quantitative modeling, and/or machine learning
  • Passion for math and software applied to markets and trading
  • Strong understanding of computing, math, probability, statistics, and finance
  • Strong work ethic and willingness to do what it takes to get the job done
  • Excellent verbal and written communication skills
  • Ability to work within a team in a fast-paced environment
  • This position requires physical presence and is onsite at our office in Aguadilla, PR

View our resources to prepare for the interview process

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