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Manager Algorithmic Trading Quant Jobs (NOW HIRING)

Hyphen Connect Limited

$109K - $149K/yr

Design and develop advanced algorithmic trading systems with a focus on ultra-low-latency execution. * Optimize and enhance existing trading strategies and systems. * Collaborate with quantitative ...

Old Mission

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

Manage trading risks by setting appropriate limits and adhering to our risk management policies ... algorithmic trading and a strong knowledge of options theory. * Proficiency with at least one of ...

Alpaca

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto ... algorithmic trading, quant trading). Who You Are (Must-Haves): * Strong, experienced software ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Manage and monitor trading risk in real-time * Develop and refine strategies for both existing and ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Da Vinci

Experienced Quant

Miami, FL

Manage and monitor trading risk in real-time * Develop and refine strategies for both existing and ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Jane Street

Quantitative Trader

New York, NY · On-site

Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an ... A strong quantitative thinker (no specific degree or major is required) * A clear and effective ...

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Manager Algorithmic Trading Quant information

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How much do manager algorithmic trading quant jobs pay per year?

As of Jul 15, 2026, the average yearly pay for manager algorithmic trading quant in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Algorithmic Trading Quant vs Quantitative Trader?

AspectManager Algorithmic Trading QuantQuantitative Trader
Primary RoleOversees trading strategies, manages teams, and develops high-level algorithmsExecutes trading strategies, analyzes markets, and implements models
ResponsibilitiesStrategy development, team leadership, risk managementMarket analysis, trade execution, model testing
CredentialsAdvanced degrees in finance, math, or computer science; experience in tradingDegree in finance, math, or related fields; strong quantitative skills
Work EnvironmentFinancial firms, hedge funds, trading desksTrading floors, financial institutions, hedge funds

The Manager Algorithmic Trading Quant focuses on leading teams and developing high-level trading algorithms, while the Quantitative Trader primarily executes trades and analyzes markets. Both roles require strong quantitative skills and relevant credentials, but differ in responsibilities and leadership scope.

More about Manager Algorithmic Trading Quant jobs
What cities are hiring for Manager Algorithmic Trading Quant jobs? Cities with the most Manager Algorithmic Trading Quant job openings:
What are the most commonly searched types of Algorithmic Trading Quant jobs? The most popular types of Algorithmic Trading Quant jobs are:
What states have the most Manager Algorithmic Trading Quant jobs? States with the most job openings for Manager Algorithmic Trading Quant jobs include:
What job categories do people searching Manager Algorithmic Trading Quant jobs look for? The top searched job categories for Manager Algorithmic Trading Quant jobs are:
Manager Algorithmic Trading Quant jobs near you
Infographic showing various Manager Algorithmic Trading Quant job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Equities Electronic Trading - Electronic Trading Product/Execution Consulting - Executive Director

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions offering innovative financial solutions globally. The Executive Director will lead product initiatives in the Electronic Client Solutions team, focusing on algorithmic trading and execution consulting to enhance client experiences and optimize trading performance.
Responsibilities:
• Define and lead product initiatives across the execution product spectrum for the Americas, including the Algorithmic trading product, Smart Order Router, and ATSs.
• Interact with our clients to understand their needs and offer J.P. Morgan's Algorithmic and Smart Order Router product suite as well as bespoke solutions.
• Analyze client order flow using transaction cost analysis (TCA) and execution quality metrics to provide actionable insights to optimize trading performance and provide execution consulting.
• Partner with business analysts, core technology, legal/compliance, operations, and sales and trading teams to ensure product functionality is optimized.
• Produce in-depth analysis of product usage, client trends, trading performance, and revenues.
• Leverage analytical skills to analyze large data sets and provide actionable results to drive product evolution and client product usage.
• Maintain a working knowledge of equities trading, market structure, and the equities market regulatory landscape.
• Ensure adherence with all relevant regulatory and control agenda requirements.
• Be an integral member of the ECS team, working together to provide a positive client experience.
Qualifications:
Required:
• Subject matter expertise in Algorithmic Trading, TCA/Execution Consulting, Smart Order Routers or Liquidity interaction.
• Extensive relevant experience in electronic trading product management or a related field, with a deep understanding of equities execution products, technologies, and market microstructure for Cash Equities.
• Very strong quantitative and analytical skills with the ability to analyze data, identify liquidity trends, and make data-driven decisions.
• Experienced in q/KDB and Python.
• Exceptional written and verbal communication skills with specific ability to communicate concepts and ideas concisely and defend their validity.
• Bachelors' degree from a leading university with a degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative field.
• Ability to comfortably interact with clients in a professional and mature manner.
• Prior technical experience with data and analytics reporting and platforms.
• Series 7, 63, and 57 registrations are required post hire if not already obtained.
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.

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