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Algorithmic Execution Quant Jobs in New York (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 ...

UBS

Execution Trader, Asset Management

New York, NY · On-site

$145K - $200K/yr

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

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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 are popular job titles related to Algorithmic Execution Quant jobs in New York?

For Algorithmic Execution Quant jobs in New York, the most frequently searched job titles are:

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:

Algorithmic Execution Quant jobs near you
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.

Quantitative Trading & Research - e-Trading - Executive Director

JP Morgan Chase

Manhattan, NY • On-site

Full-time

Medical, Retirement

Re-posted 10 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

The Quantitative Trading & Research (QTR) eTrading team designs and delivers quantitative analytics, models, and tools that improve electronic execution outcomes for clients globally.

Job Summary

As an Executive Director in QTR eTrading, you will be aligned closely with product team, you will lead execution research and transaction cost analysis (TCA) that directly informs the electronic trading product roadmap for both single-stock and portfolio trading. You will partner with Electronic Client Solutions, Coverage, and Technology to translate research into scalable, measurable platform enhancements and client solutions.

Job Responsibilities

Product strategy & roadmap influence

  • Partner with Electronic Client Solutions to define and prioritize the algorithm roadmap using data-driven insights, client needs, competitive context, and measurable outcomes.

  • Develop a clear product analytics narrative (KPIs, benchmarks, adoption/usage, performance attribution) to support senior decision-making and investment cases.

  • Translate client requirements into quantitative problem statements and implementable product specifications.

Execution measurement & TCA leadership

  • Build, enhance, and govern TCA frameworks (benchmarks, market impact curves, peer/venue comparisons) calibrated on historical order, execution, and market data.

  • Diagnose execution performance drivers (order size/urgency, liquidity, volatility, venue choice, algo selection, time-of-day effects) and convert findings into product recommendations.

  • Establish monitoring, alerting, and post-release performance measurement for algorithm changes and new features.

Research, experimentation & model development

  • Conduct market microstructure research (venue structure, auctions, fee schedules, order types, dark vs. lit dynamics) and quantify the impact on execution outcomes and product design.

  • Design and run empirical studies and controlled experiments (A/B tests) to evaluate routing, scheduling, and parameter changes; define success metrics and ensure robust statistical conclusions.

  • Contribute to pre-trade and post-trade models that support strategy selection and parameterization, including regime-aware analysis where relevant.

Cross-functional delivery & stakeholder management

  • Collaborate with Technology and Algo Development to industrialize research into production-ready capabilities, including documentation, controls, and model/feature governance.

  • Create client-facing content (methodology papers, execution strategy notes, performance reviews) and support client and internal stakeholder discussions with clear, defensible analytics.

Required Qualifications, Capabilities, and Skills

  • Master's degree in a STEM field (Computer Science, Engineering, Mathematics/Statistics, Physics) or equivalent practical experience.

  • 8+ years of relevant experience in quantitative execution research, TCA, algorithmic trading, or closely related electronic trading analytics roles.

  • Demonstrated expertise in TCA modeling and execution quality measurement relevant to algorithmic execution strategies.

  • Strong programming skills in kdb+/q and Python, with experience working with large-scale trading and market datasets.

  • Proven ability to partner effectively with Product, Trading, and Technology to move from research findings to shipped capabilities and measurable performance improvements.

  • Strong analytical, quantitative, and problem-solving skills, with excellent written and verbal communication.

Preferred Qualifications, Capabilities, and Skills

  • PhD in a STEM field or a strong independent research track record.

  • 10+ years of relevant experience.

  • Experience with stochastic control and/or numerical optimization techniques applied to single-stock and/or portfolio execution.

  • Experience with AWS and/or modern data processing technologies used for research-to-production workflows.

  • Deep knowledge of cash equities market structure and microstructure across major regions.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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