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Algorithmic Execution Quant Jobs in Berkeley, CA

ZEISS

Senior Source Scientist

Dublin, CA

$140K - $175K/yr

... algorithms. * Contribute to development of source health monitoring, control loops, and advanced ... Own research projects from conception through execution, including planning, risk assessment, and ...

ZEISS

Senior Source Scientist

Dublin, CA · On-site

$140K - $175K/yr

... algorithms. * Contribute to development of source health monitoring, control loops, and advanced ... Own research projects from conception through execution, including planning, risk assessment, and ...

Short Story

Merchandise Planner

San Francisco, CA · On-site

$65K - $150K/yr

This role combines strategic planning with operational execution, optimizing inventory levels to ... Excellent quantitative and data analysis skills. You're energized by data and are always looking to ...

Short Story

Merchandise Planner

San Francisco, CA · On-site

$65K - $150K/yr

This role combines strategic planning with operational execution, optimizing inventory levels to ... Excellent quantitative and data analysis skills. You're energized by data and are always looking to ...

The Voleon Group

Control Room Manager

Berkeley, CA · On-site +1

$160K - $190K/yr

... quantitative trading strategies. Reporting to the Global Chief Compliance Officer, you will build ... Lead cross-functional projects and drive execution across multiple departments * Manage and develop ...

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All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Berkeley, CA

Algorithmic Execution Quant information

See Berkeley, CA salary details

$64.3K

$145.9K

$240.6K

How much do algorithmic execution quant jobs pay per year?

As of Jun 14, 2026, the average yearly pay for algorithmic execution quant in Berkeley, CA is $145,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $186,700.00 per year, depending on experience, location, and employer.

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 jobs pay 2000 a day?

Algorithmic Execution Quants working in finance or trading firms can sometimes earn $2,000 or more per day through high-frequency trading, proprietary trading, or managing large portfolios. These roles typically require advanced quantitative skills, programming expertise, and experience with trading platforms and financial models.

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.

How much do algorithmic quants make?

Algorithmic execution quants typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits and technical skills in programming and quantitative analysis.

Is 40 too old to become an algorithmic execution quant?

Age is not a strict barrier to becoming an algorithmic execution quant, as the role values skills in programming, quantitative analysis, and financial markets. Many professionals transition into quant roles later in their careers by acquiring relevant knowledge through advanced degrees, certifications, or self-study. Success depends on your technical skills, experience, and ability to adapt to a fast-paced, data-driven environment.

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.

Do JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts and algorithmic execution quants who develop trading algorithms, optimize execution strategies, and analyze market data. These roles typically require strong programming skills, knowledge of financial markets, and experience with quantitative modeling tools. JP Morgan is known for employing quants across its trading and risk management divisions.

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 Berkeley, CA look for? The top searched job categories for Algorithmic Execution Quant jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Algorithmic Execution Quant jobs? Cities near Berkeley, CA with the most Algorithmic Execution Quant job openings:
Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in Berkeley, CA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $145,911 per year, or $70.1 per hour.
Product Manager - Fix Experience

Product Manager - Fix Experience

Stitch Fix

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Stitch Fix rating

6.7

Company rating: 6.7 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

31st of 102 rated fashion retailers

Job description

Job Summary:
Stitch Fix is a leading online personal styling service that helps people discover styles that fit perfectly. They are seeking a Product Manager for their core Fix Experience to shape how clients discover and evolve their personal style, driving significant business impact and fostering cross-functional collaboration.
Responsibilities:
• Drive Massive Business Impact: Take on a tremendous responsibility for our largest and most critical business unit. The innovation, features, and improvements you launch here will have a direct, significant impact on Stitch Fix's overall company performance. Delivering measurable results at this scale is key.
• Define the Vision & Strategy: Create a compelling strategic narrative, product strategy, and release plan spanning both immediate quarterly goals and a 1-3 year time horizon.
• Drive Execution with Velocity: Move with high urgency to champion innovative product ideas, taking them from zero to one through deep discovery, customer interviews, prototyping, and rapid iteration. You will adeptly balance investments across breakthrough innovation, core feature improvements, and foundational technical excellence.
• Manage a Dynamic Portfolio: Balance and deliver on a large, complex portfolio of multiple workstreams, products, and simultaneous feature launches.
• Lead Cross-Functional Alignment: Foster tight collaboration across Design, Algorithms, Engineering, Merchandising, Marketing, and Operational teams to build solutions that exceed client expectations and drive business growth.
• Elevate the Product Culture: Work collaboratively across the broader group of Product Managers to foster and act as a role model for a high-performance, inclusive culture. You will actively coach and mentor peers, consistently identifying opportunities to uplevel the product discipline and practices across the organization.
Qualifications:
Required:
• 7+ years of product management experience, ideally in direct-to-consumer (DTC), retail, or e-commerce.
• Strong track record of building and scaling subscription-based products, leveraging recommendation systems and personalization to drive customer engagement and retention.
• Bachelor's degree in a quantitative or business discipline (MBA is a plus).
• Excel at ruthless prioritization, driven by a deep understanding of the client and our business model.
• Adept at estimating impact—knowing exactly what is worth building and when to build it.
• Managing complex teams, interconnected systems, and competing stakeholder objectives to maximize team impact.
• Easily extract actionable insights from competing data sources.
• Defining A/B experiments and leveraging statistical data to guide go-forward opportunities.
• Well-versed in Agile methodologies.
• Build strong relationships, empower diverse perspectives, and effectively communicate business cases and roadmaps to cross-functional partners and executive leadership.
• Keen eye for UX, working closely with Product Design to craft intuitive, delightful, and customer-centric experiences.
Company:
Stitch Fix is a personal styling platform that delivers curated and personalized apparel and accessory items for women. Founded in 2011, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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