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Algorithmic Execution Quant Jobs in Princeton, NJ

G-20 Group

Index Options Trader

New York, NY · On-site +1

Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of macroeconomic events, central bank ...

New

Frec Markets, Inc

Quant Developer

New York, NY · On-site

$200K - $300K/yr

What you will do: Quantitative Engineering & Algorithm Development: You will live at the ... You will help shape our automated trading execution, portfolio optimization, and performance ...

TIAA

Quant Trader, Brooklyn Direct Indexing

New York, NY · On-site

$162K - $225K/yr

Execute equity orders across markets using quantitative and algorithmic trading techniques. * Monitor market conditions, liquidity, transaction costs, and execution performance to optimize trade ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

The ideal candidate would be someone who has experience working with low-latency execution engines ... Solid grasp of data structures, algorithms, software engineering principles, and version control.

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... execution analytics, TCA, or algorithmic trading research. Responsibilities of the Role:

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading ... execution analytics, TCA, or algorithmic trading research. Responsibilities of the Role:

Gauntlet

Quant Developer

New York, NY · On-site +1

Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens ... A track record of building quantitative systems that run in production - algorithmic trading ...

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Showing results 21-40

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Princeton, NJ

Algorithmic Execution Quant information

See Princeton, NJ salary details

$55K

$124.9K

$206K

How much do algorithmic execution quant jobs pay per year?

As of Aug 16, 2026, the average yearly pay for algorithmic execution quant in Princeton, NJ is $124,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $159,900.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Algorithmic Execution Quant jobs in Princeton, NJ?

For Algorithmic Execution Quant jobs in Princeton, NJ, the most frequently searched job titles are:

What job categories do people searching Algorithmic Execution Quant jobs in Princeton, NJ look for?

The top searched job categories for Algorithmic Execution Quant jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Algorithmic Execution Quant jobs?

Cities near Princeton, NJ with the most Algorithmic Execution Quant job openings:

Algorithmic Execution Quant jobs near you

Index Options Trader

G-20 Group

New York, NY • On-site, Remote

Full-time

Posted 3 days ago

New

Job description

About G-20 

G-20 Group is a cross-asset trading firm headquartered in Switzerland, trading delta-one and derivatives markets globally. We combine startup agility with institutional-grade experience in proprietary trading, technology, and quantitative finance.

Role Overview 

As an Index Options Trader at G-20, you will be responsible for managing and optimizing a discretionary index options portfolio. You will collaborate with a team of traders, quantitative researchers, and developers to enhance pricing models, refine trading strategies, and drive superior risk-adjusted returns. This role offers a unique opportunity to contribute to G-20's continued expansion within a fast-paced and dynamic trading environment. 

Key Responsibilities 

  • Develop, implement, and refine index options trading strategies across major benchmark indices (e.g. S&P 500, Nasdaq 100, Russell 2000, or relevant regional indices). 
  • Analyze market microstructure, order flow, and volatility dynamics (including skew, term structure, and implied vs. realized volatility) to identify and capitalize on trading opportunities. 
  • Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. 
  • Maintain strong awareness of macroeconomic events, central bank policy, and geopolitical developments that influence index levels and volatility markets. 
  • Execute trades with precision across listed index options and related futures, ensuring best execution and liquidity management. 
  • Manage portfolio Greeks (delta, gamma, vega, theta) and adjust hedges dynamically in response to changing market conditions, including around key macro events and expiries. 
  • Contribute to the continuous enhancement of G-20's trading infrastructure, data pipelines, and analytical frameworks. 
  • Monitor portfolio performance and risk metrics, providing regular feedback on strategy effectiveness and market impact. 

Requirements

  • Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university. 
  • Strong background in options trading with a solid understanding of options pricing theory, volatility trading, and relevant strategies. Experience in high volatility asset classes and leveraged trading is essential. 
  • Proven track record of generating consistent profits (PnL >$2m annually for more than 3 years, increasing with experience). 
  • Experience with quantitative trading and the ability to apply data analysis to trading decisions. 
  • Exceptional analytical and problem-solving abilities, capable of making quick, data-driven decisions. 
  • Excellent communication and collaboration skills, with the ability to collaborate effectively across teams. 
  • Demonstration of a results-driven, proactive, and self-motivated approach. 

Preferred / Desirable Experience 

  • Experience in a proprietary trading, market-making, or hedge fund environment. 
  • Familiarity with automation and algorithmic execution strategies for options. 
  • Proficiency with trading and analytical tools (e.g. Python, Excel/VBA, SQL). 

Right to work: This role can be based out of our Zurich, London, New York or Hong Kong office. Only candidates who possess the pre-existing right to work in one of the locations above without company sponsorship need apply.  

Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector. 

Apply