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Algorithmic Execution Quant Jobs in Florida (NOW HIRING)

Collaborate closely with quantitative researchers to translate mathematical models into production ... execution * Proven ability to optimize software across abstraction layers, from algorithms to ...

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The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

Client Relations Associate

Boca Raton, FL · On-site

$37K - $47K/yr

... leading algorithmic trading firm and trusted electronic market maker, providing liquidity ... The firm offers full-service prime brokerage and execution via its cutting-edge proprietary ...

... back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine ...

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FPGA Engineer - Intern (Australia)

Miami, FL · On-site

$117K - $162K/yr

... algorithmic trade signal generation and order execution * Work in small teams to build the future ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

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FPGA Engineer

Miami, FL · On-site

$125K - $350K/yr

  • Medical

  • Life

  • Retirement

... accelerate algorithmic trade signal generation and order execution Skills and Preferred ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

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Algorithmic Execution Quant information

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.

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 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 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 job categories do people searching Algorithmic Execution Quant jobs in Florida look for?

The top searched job categories for Algorithmic Execution Quant jobs in Florida are:

What cities in Florida are hiring for Algorithmic Execution Quant jobs?

Cities in Florida with the most Algorithmic Execution Quant job openings:

Quantitative Research Engineer

Citadel

Miami, FL • On-site

Other

Posted 3 days ago

New


Job description

Job Description
Responsibilities
  • Collaborate closely with quantitative researchers to translate mathematical models into production-grade, ultra-low latency implementations
  • Maintain and improve trading algorithms by looking for both quantitative and performance-based opportunities
  • Apply advanced mathematical and computational techniques to market microstructure problems
  • Develop and optimize high performance C++ for real-time trading systems

Profile, measure, and reason rigorously about system behavior under extreme performance constraints
Required Skills
Research Engineers at Citadel Securities are responsible for designing, building and optimizing our electronic trading platform. Research Engineers will work closely with our researchers, simulation and live traders to perform various functions, including the development of our core-trading infrastructure and high-throughput trading systems and working with the research team to identify and optimize critical bottlenecks in research and production trading.
We require a strong knowledge of low-level optimization, interest in algorithmic trading, data analysis/design, risk management and application development. Research Engineers will gain exposure to quantitative trading while working in our fast-paced, dynamic environment. Our Research Engineers work on projects from inception through to deployment and are expected to take real ownership of the assets they are building.
Required Qualifications
  • Strong mathematical and quantitative foundation
  • Strong background in systems programming and performance engineering
  • Expert-level proficiency in C++ with a demonstrated history of writing high performance, low latency code
  • Understanding of modern CPU architectures: including pipelines, caches, memory models, and parallel execution
  • Proven ability to optimize software across abstraction layers, from algorithms to hardware

Preferred Experience
  • Prior experience in high frequency trading, market making, or electronic trading infrastructure
  • Experience with parallel programming models and heterogeneous computing
  • Track record of delivering production systems where performance was the primary constraint
  • HPC programming, include accelerators such as GPUs, TPUs, etc.

Specialties
  • Financial technology and electronic trading systems
  • Low level CPU and GPU performance optimization

Research-driven engineering in production environments
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .