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Part Time Algorithmic Trading Quant Jobs in Berkeley, CA

Part Time Algorithmic Trading Quant information

See Berkeley, CA salary details

$64.3K

$145.9K

$240.6K

How much do part time algorithmic trading quant jobs pay per year?

As of Jul 16, 2026, the average yearly pay for part time algorithmic trading 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 Part Time Algorithmic Trading Quant vs Part Time Quantitative Analyst?

AspectPart Time Algorithmic Trading QuantPart Time Quantitative Analyst
CredentialsTypically requires degrees in Computer Science, Mathematics, or Engineering; programming skills essentialRequires degrees in Finance, Economics, Mathematics; strong analytical skills needed
Work EnvironmentPrimarily in trading firms or hedge funds, focused on developing trading algorithmsIn finance institutions, focusing on data analysis, model development, and risk assessment
Industry UsageCommonly employed in algorithmic trading firms and hedge fundsUsed across investment banks, asset management firms, and financial services

While both roles involve quantitative skills and finance knowledge, the Part Time Algorithmic Trading Quant specializes in developing and implementing trading algorithms, often requiring programming expertise. The Part Time Quantitative Analyst focuses more broadly on financial data analysis and model development without necessarily coding trading systems. Understanding these differences helps candidates target their job search effectively.

What are the key skills and qualifications needed to thrive as a Part Time Algorithmic Trading Quant, and why are they important?

To thrive as a Part Time Algorithmic Trading Quant, you need strong quantitative analysis skills, proficiency in statistics and mathematics, and typically a background in finance, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with trading platforms, and knowledge of machine learning libraries or financial databases are important technical qualifications. Attention to detail, problem-solving ability, and strong communication skills help you stand out in this role. These skills are crucial for developing, implementing, and optimizing trading strategies in fast-paced, data-driven environments where accuracy and adaptability are essential.

What is a Part Time Algorithmic Trading Quant?

A Part Time Algorithmic Trading Quant is a professional who develops, tests, and implements mathematical models and algorithms to make automated trading decisions, typically working fewer hours than a full-time quant. They use programming, statistical analysis, and financial market knowledge to create strategies that can profit from market movements. Part-time quants may work for hedge funds, proprietary trading firms, or as independent contractors, and their flexible schedule allows them to balance other commitments while contributing to the trading team's goals.

What are the typical challenges faced by part-time algorithmic trading quants when balancing project deadlines with market hours?

Part-time algorithmic trading quants often face the challenge of synchronizing their limited working hours with the fast-paced and sometimes unpredictable nature of financial markets. Meeting project deadlines can be particularly demanding, as market opportunities and anomalies may arise outside of their scheduled work times. Effective time management, clear communication with the trading team, and automation of routine tasks are essential for success in this role. Collaborating closely with full-time colleagues and using version control systems can also help ensure smooth project handovers and maintain continuity.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Berkeley, CA? The most popular types of Algorithmic Trading Quant jobs in Berkeley, CA are:
What are popular job titles related to Part Time Algorithmic Trading Quant jobs in Berkeley, CA? For Part Time Algorithmic Trading Quant jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Part Time Algorithmic Trading Quant jobs in Berkeley, CA look for? The top searched job categories for Part Time Algorithmic Trading Quant jobs in Berkeley, CA are:
School of Management: Adjunct Faculty for Applied Capital Markets (Undergraduate)

School of Management: Adjunct Faculty for Applied Capital Markets (Undergraduate)

The University of San Francisco

San Francisco, CA • On-site

Part-time

Re-posted 24 days ago


Job description

Job Title:
School of Management: Adjunct Faculty for Applied Capital Markets (Undergraduate)
Job Summary:
This job is located at the University of San Francisco Hilltop Campus at 2130 Fulton Street, San Francisco, California. Please only apply if you can teach in person at this location.
Teach Applied Investing to the Next Generation of Finance Leaders
We are seeking a practitioner-oriented Ph.D. in finance to teach an exciting undergraduate course built around real investment data, hands-on Excel analysis, and live market applications. Students will work with Bloomberg and FactSet on projects spanning crypto returns, housing valuation, FX carry trades, momentum strategies, ETF replication, and portfolio construction. This is a chance to bring real-world investing into the classroom and help students turn financial theory into practical investment and risk-management decisions.
The School of Management at the University of San Francisco invites applications for part-time adjunct faculty with expertise in finance and investments. Under the direction of the Dean and Associate Deans, the Adjunct Faculty Member will teach an undergraduate-level course in finance and investments in the School of Management Business Administration program. You will be part of one of the only Investment Minors in the country at The Silk Family Investment Institute. https://www.usfca.edu/management/engagement-impact/silk-family-investment-institute
Full Job Description:
The course description is as follows:
This course focuses on applying theoretical concepts in investing with real investment data using primarily Excel. Students will get hands-on experience with real financial data, learn to use Excel for investing problems, and gain valuable knowledge of applied investing. The course centers around the Benjamin Franklin quote, "Tell me and I forget, teach me and I remember, and involve me and I learn." The class will be driven by many small projects involving using Bloomberg and FactSet to acquire real financial data and then apply it to solve problems, develop insights, and distill learnings to develop investment and risk management decisions. The course will also involve presenting results in class in simulated professional settings. Projects will include explaining crypto asset returns, building models that assess how expensive is the us housing market and housing markets in various cities, expressing direct versus synthetic carry trades in the foreign exchange markets, building an efficient frontier with a collection of actual asset classes, testing and developing momentum-trading strategies, and ETF Replication with Derivatives and analysis of ETFs and their managements strategies.
Full Job Description:
Qualifications
  • A Master's degree in a related management/business discipline, or Bachelor's + equivalent professional experience;
  • Actual empirical experience in analyzing trading strategies and performance using research-driven backtesting preferred;
  • People who have worked as quant analysts or researchers for investment firms preferred;
  • Critical understanding of the relationship between professional/discipline expertise, social justice, and the United Nations Sustainable Development Goals (SDGs);
  • Relevant teaching experience or demonstrable ability to teach at the undergraduate and/or graduate level;
  • Knowledge of principles and methods for instruction of individuals and groups, and the assessment of learning;
  • Planning and organizing skills sufficient to ensure implementation of the assigned curriculum, job duties, and established expectations;
  • Oral and written communication skills in the English language at a level that conveys information to and from students, colleagues, and others in an effective manner;
  • Awareness of contemporary and critical concerns in the discipline, and Interpersonal orientation that encourages productive interactions with students and colleagues.

Duties/Responsibilities
  • Plan and organize instruction according to approved course outlines and student learning outcomes to maximize student learning in alignment with department, school, and university mission/goals; implement the student performance objectives as listed on the official course outline of record.
  • Prepare course materials such as syllabi, visual and audio recordings, readings and assignments, assessments, and other learning resources.
  • Prepare and deliver/lead effective lectures, case analyses, simulations, and other engaging learning activities.
  • Initiate, moderate, and facilitate inclusive classroom discussions.
  • Observe and evaluate student performance in meeting course objectives and student learning outcomes through assignments, projects, discussions, and/or examinations; provide feedback in a timely manner to student inquiries in class, online, or during established consultation office hours.
  • Maintain current, accurate records of course enrollment, attendance, student academic progress, course curriculum, and student learning outcomes; prepare and submit data and reports related to course and student progress in a timely manner.
  • Evaluate and select instructional materials such as textbooks, manuals, software, and tools in collaboration, as appropriate, with discipline full-time faculty; order instructional materials according to campus bookstore procedure to ensure timely delivery.
  • Maintain student grades and other required records or reporting materials.
  • Stay current on developments in the discipline by reading professional literature, talking with colleagues, and participating in professional workshops or conferences;
  • Stay current on effective teaching methods via resources and training offered by USF's Center for Teaching Excellence.
  • Hold weekly office hours (at least 1 hour for each course section taught) for the purpose of advising and assisting students.
  • Advise and instruct students regarding lifelong learning resources and effective study skills; refer students to support services, programs, resources, and other professionals as appropriate.

About the University of San Francisco and the School of Management: Since 1855, the University of San Francisco has dedicated itself to offering dynamic educational programs. USF is committed to being a premier Jesuit Catholic, urban university with a global perspective. We are committed to educating hearts and minds to cultivate the whole person, to pursue learning as a lifelong humanizing and liberating social activity, and to make excellence the standard for teaching, scholarship, creative expression, and service.
The School of Management offers bachelor's and master's degree programs in business, management, marketing, entrepreneurship, and information systems, and is accredited by AACSB.
Questions should be directed to the Associate Director of Academic Affairs, Katherine Green, at kjgreen@usfca.edu.
The University will provide reasonable accommodations to qualified applicants with disabilities upon request.
Full-Time/Part-Time:
Part time
Pay Rate:
Salary
Salary Range :
Spring 2025 - Intersession 2026: $2,256 per unit