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Algorithmic Execution Quant Jobs (NOW HIRING)

Man Group

Principal Quant

New York, NY · On-site

$200K - $250K/yr

Global asset class coverage: lead the expansion of Man's internal algorithmic execution to global ... PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in ...

Man Group plc

Principal Quant

Manhattan, NY · On-site

$200K - $250K/yr

Global asset class coverage: lead the expansion of Man's internal algorithmic execution to global ... PhD or exceptional Masters / Bachelors qualification in a quantitative subject * Expertise in ...

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Algorithmic Execution Quant information

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$52.5K

$119.2K

$196.5K

How much do algorithmic execution quant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for algorithmic execution 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 is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
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Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Senior Execution Quantitative Analyst - Fixed Income

Millennium Management LLC

New York, NY • On-site

$160K - $250K/yr

Full-time

Re-posted 27 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Senior Execution Quantitative Analyst - Fixed Income
The Electronic Trading Solutions team is responsible for execution across a wide range of products and geographies. Working with portfolio managers, central trading, and technology, the team builds scalable, automated trading processes and provides execution analytics and market structure expertise. We are seeking a Senior Execution Quantitative Analyst to lead the expansion of our central execution capabilities into fixed income markets, covering corporate credit (IG/HY), Treasuries (cash and futures), and interest rate swaps. This is a hands-on role requiring deep fixed income market structure knowledge combined with strong quantitative and software development skills. The candidate will be expected to assess the firm's existing data and workflow landscape, identify and size near-term P&L opportunities, and lead the build-out of execution and analysis infrastructure.
Principal Responsibilities
  • Assess the firm's existing fixed income data assets (dealer axes, evaluated pricing, TRACE prints, swap SDR data, futures market data) and design a coherent real-time and historical data layer to support execution and analysis
  • Identify and size near-term opportunities in execution quality improvement, transaction cost reduction, and flow internalization across credit, rates, and swaps
  • Design, build, and operate internal execution algorithms covering the full fixed income liquidity spectrum- from liquid on-the-run Treasuries to illiquid corporate bonds-using RFQ, click-to-trade, and direct connectivity workflows
  • Build transaction cost analysis and pre-trade cost models for fixed income instruments;
  • Partner with portfolio managers and traders to understand flow characteristics and communicate execution analytics clearly
  • Recruit and mentor junior quants and engineers as the platform scales

Qualifications / Skills Required
  • 10+ years of relevant experience in fixed income electronic trading, execution, or quantitative research on the buy side or sell side
  • Hands-on experience building execution infrastructure for institutional fixed income: RFQ and/or click-totrade workflows, FIX protocol connectivity, and integration with major electronic venues
  • Experience building TCA or cost models for fixed income instruments, including illiquid and sparsely traded securities
  • Strong programming skills; experience with data pipelines and market data APIs
  • Solid quantitative background; degree in Mathematics, Computer Science, Engineering, Physics, or a related field
  • Demonstrated ability to translate data analysis into actionable P&L estimates and communicate findings to non-technical stakeholders
  • Experience as a hands-on development lead, with a track record of taking projects from inception to production

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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