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Algorithmic Trading Quant Jobs (NOW HIRING)

... 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 ...

Quant Trading Strategy

Manhattan, NY · On-site

$120K - $140K/yr

Job Summary The Americas Algorithmic Trading team operates as a specialized unit combining quantitative research, data engineering, and real-time trading execution to build its suite of algorithmic ...

Quant Trading Strategy

Manhattan, NY · On-site

$120K - $140K/yr

Job Summary The Americas Algorithmic Trading team operates as a specialized unit combining quantitative research, data engineering, and real-time trading execution to build its suite of algorithmic ...

... and quantitative researchers to optimize system performance in a highly collaborative environment. Our algorithmic trading group offers broad exposure to diverse strategies, markets, and domain ...

$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

See salary details

$52.5K

$119.2K

$196.5K

How much do algorithmic trading quant jobs pay per year?

As of Jun 19, 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.

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% 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

New York, NY • On-site

$145K - $172K/yr

Full-time

Posted 14 days ago


Job description

Your role
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.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team
You'll be working in the Quantitative Analysis & Development team in New York. The team is responsible for providing best in class, execution trading algorithms, smart order routing (SOR) and direct market access products for a large number of global clients based both internally and externally across predominantly Cash Equities but also ETD and FX asset classes.
Your expertise
Your expertise :
• ideally 2+ years of experience with Algorithmic Trading Strategies, Smart Order Routing and Data Analysis for single stock and portfolio trading.
• proven background in quantitative analysis and development with a degree in Computer Science, Mathematics, Engineering or related discipline (PhD preferred but not a pre-requisite).
• working knowledge of Java (other languages considered)
• proficient in data analysis using statistical software packages such as Python or equivalent
• experience analyzing tick series market data via KDB / Onetick and extracting data via e.g. SQL
• knowledge of US cash equity market microstructure with an understanding of low latency trading strategies preferred but not essential.
• proficient with visualization tools such as Tableau or Power BI.
• strong written and verbal communication skills in English to produce comprehensive business requirement specification and model risk documents
• knowledge of L3 market data and orderbook mechanics also a plus
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Salary information
The indicative gross base salary range as a full-time equivalent role:
• United States - New York - New York min USD 145000 - max USD 172500 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.

UBS Financial Services logo

About UBS Financial Services

Sourced by ZipRecruiter

UBS is the world's largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Weehawken, NJ, US