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Algorithmic Trading Quant Jobs (NOW HIRING)

Wintermute Group

... with strong quantitative and Python skills, good trading instincts and a curiosity about ... algorithmic trading, high-frequency trading, liquidity provision and digital assets. You will take ...

Wintermute

Algorithmic Trader

New York, NY · On-site

... with strong quantitative and Python skills, good trading instincts and a curiosity about ... algorithmic trading, high-frequency trading, liquidity provision and digital assets. You will take ...

Wintermute Group

Algorithmic Trader

Manhattan, NY · On-site

... with strong quantitative and Python skills, good trading instincts and a curiosity about ... algorithmic trading, high-frequency trading, liquidity provision and digital assets. You will take ...

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced ... Deep understanding of alpha capture and algorithmic trading strategies. * Proficiency in Python ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... trading financial products (e.g options, futures) * Strong analytical, quantitative, and math ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

Eagle Seven is seeking an experienced Algorithmic Trader to trade futures contract listed on Eurex ... trading financial products (e.g options, futures) * Strong analytical, quantitative, and math ...

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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 Sep 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.

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 are the key skills and qualifications needed to thrive as an algorithmic trading quant?

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.

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Algorithmic Trading Quant jobs near you
Infographic showing various Algorithmic Trading Quant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Algorithmic Trading Analyst

Stamford, CT • On-site

Bestex Research
Finance and Insurance • 11 - 50 employees
Learn more about Bestex Researchexternal

Full-time

Posted 14 days ago

Job description

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets.

BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems.

Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes. Visit our website https://www.bestexresearch.com/ to learn more about our products, research, and mission.

Requirements

Description

We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development.

In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform. 

Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage. 

Specifically, You Will:
  • Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work. 
  • Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Gain experience testing and supporting our trading product.
  • Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams
  • Develop communication and presentation skills for internal and client-facing interactions.
  • Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes
Requirements
  • Bachelor’s, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline
    Strong foundation in probability, statistics and data analysis.
  • Strong analytical mindset and problem-solving skills with high attention to details
  • Working knowledge of Python/R and SQL
  • Excellent written and verbal communication skills
  • Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment
  • Willingness to work in person daily in our office in Stamford, CT