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Algorithmic Execution Quant Jobs in New York (NOW HIRING)

... quantitative insights to support trading decisions • familiarity with OMS/EMS platforms, algorithmic execution tools, transaction cost analysis (TCA), and trading analytics. • interest in ...

Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate actions, earnings events ...

New

Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate actions, earnings events ...

New

Quantitative Developer

Manhattan, NY · On-site

$130 - $160/hr

Overseeing automated trade execution and monitoring transaction costs. * Supervising a small team ... Designing and developing quantitative mathematical algorithms to link the diverse data sets from ...

Collaborate with quantitative analysts and developers to improve options pricing models, hedging algorithms, and execution tools. * Maintain strong awareness of corporate actions, earnings events ...

New

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

Credit Execution Trader

Manhattan, NY · On-site

$120 - $180/hr

Overseeing automated trade execution and monitoring transaction costs. * Supervising a small team ... Designing and developing quantitative mathematical algorithms to link the diverse data sets from ...

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

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

Quant Developer

New York, NY · On-site

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 41-60

Algorithmic Execution Quant information

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.

What job categories do people searching Algorithmic Execution Quant jobs in New York look for?

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

What cities in New York are hiring for Algorithmic Execution Quant jobs?

Cities in New York with the most Algorithmic Execution Quant job openings:

Infographic showing various Algorithmic Execution Quant job openings in New York as of August 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Global Equities - Algorithmic Trading/Execution Consulting - Associate

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
JPMorganChase is a leading financial institution offering innovative financial solutions. The Associate role in the Electronic Client Solutions (ECS) team involves driving product strategy and delivering execution consulting to institutional clients in equities electronic trading.
Responsibilities:
• Define and lead product initiatives across the Americas execution product spectrum, including the algorithmic trading product, smart order router, and alternative trading systems.
• Engage with clients to understand their needs and deliver the algorithmic and smart order router product suite as well as bespoke solutions.
• Analyze client order flow using TCA and execution quality metrics to provide actionable insights that optimize trading performance.
• Partner with business analysts, technology, legal/compliance, operations, and sales and trading teams to optimize product functionality.
• Produce in-depth analysis of product usage, client trends, trading performance, and revenues to drive product evolution.
• Maintain working knowledge of equities trading, market structure, and the regulatory landscape, ensuring adherence to all relevant requirements.
• Contribute to a positive client experience as an integral member of the ECS team.
Qualifications:
Required:
• Bachelor's degree in Finance, Economics, Mathematics, Engineering, Computer Science, or a related quantitative field.
• 3+ years of equities electronic trading experience or equivalent, preferably in algorithmic trading, smart order routing, or execution consulting.
• Strong quantitative and analytical skills with the ability to analyze data, identify liquidity trends, and make data-driven decisions.
• Experience with q/kdb+ and Python.
• Strong understanding of equities execution products, market structure, and the regulatory landscape.
• Excellent written and verbal communication skills with the ability to articulate complex concepts clearly.
• Ability to interact confidently and professionally with clients.
Preferred:
• Series 57, 7, and 63 registrations.
• Prior technical experience with data and analytics reporting platforms.
• Experience producing execution consulting deliverables for institutional clients.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.