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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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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 May 30, 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 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 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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Electronic Options Platform Specialist | Experienced Hire

Susquehenna International Group

Manhattan, NY • On-site, Remote

Other

Posted 23 days ago


Job description

Electronic Options Platform Specialist

The Electronic Options Platform Specialist at Susquehanna is responsible for the strategic growth, commercialization, and day-to-day management of an institutional electronic listed options business. This role operates at the intersection of sales, trading, product development, and quantitative strategy, driving revenue expansion, execution performance, and platform innovation across an institutional client base.

The position leads cross-functional collaboration across sales, trading, quant research, and technology to deliver scalable, best-in-class electronic execution solutions.

Key Responsibilities Include:

  • Drive revenue, executed volumes, and overall profitability of the electronic options algorithmic trading platform.
  • Lead and coordinate sales, trading, quant, and technology teams to expand and strengthen the institutional franchise.
  • Aid in client coverage strategy for the business.
  • Partner with derivatives sales trading to onboard new clients and transition existing relationships to electronic execution.

Product Strategy & Execution Solutions

  • Oversee the development and commercialization of electronic options algorithmic strategies.
  • Maintain and enhance a comprehensive execution suite, optimized trade scheduling, access to principal liquidity, and advanced Transaction Cost Analysis (TCA).
  • Translate client feedback and market structure insights into new execution strategies and platform enhancements.
  • Monitor global derivatives market structure and evolving electronic trading trends to inform product direction.

Client Coverage & Platform Oversight

  • Manage relationships with hedge funds, asset managers, broker-dealers, and proprietary trading firms.
  • Oversee daily monitoring of institutional low-touch options flow to ensure execution quality and risk alignment.
  • Support clients across varying execution sophistication levels, from point-and-click to fully systematic/API trading.
  • Provide data-driven insights on liquidity, transaction costs, and execution performance.
  • Serve as senior point of contact for electronic trading platform usage across equities, options, and futures.

What We're Looking For

  • Deep expertise in listed options market structure and electronic execution.
  • Strong understanding of algorithmic trading strategy design and TCA.
  • Experience scaling institutional electronic trading platforms and managing global client relationships.
  • Proven ability to lead cross-functional initiatives in a fast-paced environment.

What's In It For You

  • Relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday)
  • Food, beverages, and snacks available all day
  • Discounts for dining, entertainment, shopping, travel, and attractions
  • Social events such as a poker tournament, holiday party, company outings, and more
  • Opportunities to give back to the community through Susquehanna sponsored events and donation drives

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

The annual base pay range for this role is $200,000 - $300,000 + discretionary bonus + benefits. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.