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Entry Level Algorithmic Trading Quant Jobs (NOW HIRING)

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 ...

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... Candidates with experience in transaction cost analysis, or conducting algorithmic trading research ...

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 ...

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 ...

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Entry Level Algorithmic Trading Quant information

See salary details

$52.5K

$119.2K

$196.5K

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

As of May 29, 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 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 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 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
What cities are hiring for Entry Level Algorithmic Trading Quant jobs? Cities with the most Entry Level Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
What states have the most Entry Level Algorithmic Trading Quant jobs? States with the most job openings for Entry Level Algorithmic Trading Quant jobs include:
What job categories do people searching Entry Level Algorithmic Trading Quant jobs look for? The top searched job categories for Entry Level Algorithmic Trading Quant jobs are:
Infographic showing various Entry Level Algorithmic Trading Quant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Senior Electronic Algorithmic Trading Quantitative Analyst

Senior Electronic Algorithmic Trading Quantitative Analyst

UBS - Experienced professionals - job boards

New York, NY

Other

Posted 3 days ago


UBS rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

11th of 141 rated banks


Job description

Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies. We're looking for someone to analyze, adapt and improve the quantitative performance of UBS's suite of agency algorithmic trading and smart order routing strategies.
The successful candidate will primarily:
perform thorough research on areas such as market microstructure and market impact analysis.


perform Transaction Costs Analysis (TCA) to minimize executions costs.
improve consistency of algo performance and reduce outliers and risk, particularly during significant unscheduled as well as scheduled events e.g. index rebalance events.
design and spec new trading strategies with a particular focus on low latency trading strategies.
analyze trading patterns and trends within market data (L2 or L3 format).
employ modern data analytical tools such as machine learning but in a controlled and practical way.
adapt algorithms to adjust to new markets, venues, order types, asset classes and regulation.
generate intraday trading signals and volume forecasts from microseconds to minutes.
communicate with internal stakeholders and external clients and vendors to understand business requirements and market trends.
produce analytics and reports to monitor and benchmark trading performance both internally and for clients


What UBS employees say

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Benefits

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About UBS

Sourced by ZipRecruiter

We want to create superior value for our clients, shareholders and employees. And we want to stand out as a winner in our industry for our expertise, advice and execution, our contribution to society, our work environment and our business success.

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Zürich, ZH, CH