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Algorithmic Trading Quant Jobs (NOW HIRING)

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or one of the hard sciences. * 1-4 years of trading experience encompassing algorithmic trading ...

... 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 ...

$109K - $149K/yr

Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution. * Optimize and enhance existing trading strategies and systems. * Collaborate with quantitative ...

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Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do algorithmic trading quant jobs pay per year?

As of Jul 10, 2026, the average yearly pay for 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.

Is it hard to get a job as a quant trader?

Securing a job as an algorithmic trading quant is competitive and typically requires strong quantitative skills, programming expertise, and relevant experience or advanced degrees in fields like mathematics, physics, or computer science. Candidates often need to demonstrate proficiency in programming languages such as Python or C++, and familiarity with financial markets and trading strategies is advantageous.

What are the key skills and qualifications needed to thrive in the Algorithmic Trading Quant position, and why are they important?

To thrive as an Algorithmic Trading Quant, you need strong quantitative analysis skills, advanced knowledge in mathematics or statistics, and a degree in a related STEM field. Expertise in programming languages such as Python, C++, or R, along with experience using statistical modeling tools and financial data platforms, is often required. Excellent problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies are critical for developing robust trading algorithms, collaborating with cross-functional teams, and maintaining a competitive edge in fast-paced financial markets.

What does an Algorithmic Trading Quant do?

An Algorithmic Trading Quant designs, develops, and optimizes mathematical models and algorithms for automated trading strategies. They analyze market data, identify patterns, and leverage statistical and machine learning techniques to make high-frequency or systematic trading decisions. These professionals work closely with traders and software engineers to enhance execution efficiency and manage risk. Strong programming skills, quantitative analysis, and financial market knowledge are essential for success in this role.

What does a typical day look like for an Algorithmic Trading Quant?

A typical day for an Algorithmic Trading Quant involves designing and back-testing new trading strategies, analyzing large volumes of financial data, and refining algorithmic models for optimal performance. You’ll collaborate closely with traders, software engineers, and risk managers to implement strategies in live markets and address real-time trading challenges. Regular tasks also include monitoring algorithmic performance, troubleshooting issues, and staying updated on market trends. The environment is highly dynamic, requiring adaptability, continuous learning, and strong teamwork to achieve trading objectives.

What is a quant trader's salary?

A quant trader's salary typically ranges from $100,000 to over $300,000 annually, depending on experience, location, and firm size. Compensation often includes bonuses tied to performance, and strong programming skills in languages like Python or C++ are highly valued in this role.

Do quants do algorithmic trading?

Quantitative analysts, or quants, often develop and implement algorithmic trading strategies as part of their role. They use mathematical models, programming skills, and data analysis to automate trading decisions in financial markets.

Is algo trading a good career?

Algorithmic trading is a specialized field within finance that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It offers high earning potential and demand for technical expertise but requires strong knowledge of markets, programming languages like Python or C++, and risk management. Success in this career depends on continuous learning and staying updated with market trends and technology advancements.
What cities are hiring for Algorithmic Trading Quant jobs? Cities with the most 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 job categories do people searching Algorithmic Trading Quant jobs look for? The top searched job categories for Algorithmic Trading Quant jobs are:
Infographic showing various Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Electronic Trading Quantitative Analyst

Electronic Trading Quantitative Analyst

UBS - Experienced professionals - job boards

New York, NY • On-site

$145K - $172K/yr

Other

Posted 4 days ago


UBS rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 146 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
New York: the salary range for this role is $145000 to $172500
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation

For benefits information, please visit ubs.com/usbenefits.


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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