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Python Quantitative Algorithmic Trading Jobs in Bakersfield, CA

Python Quantitative Algorithmic Trading information

See Bakersfield, CA salary details

$101.3K

$175.5K

$268.4K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 31, 2026, the average yearly pay for python quantitative algorithmic trading in Bakersfield, CA is $175,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,100.00 and $205,800.00 per year, depending on experience, location, and employer.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.

What are the key skills and qualifications needed to thrive as a Python quantitative algorithmic trader?

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

What are popular job titles related to Python Quantitative Algorithmic Trading jobs in Bakersfield, CA?

For Python Quantitative Algorithmic Trading jobs in Bakersfield, CA, the most frequently searched job titles are:

What job categories do people searching Python Quantitative Algorithmic Trading jobs in Bakersfield, CA look for?

The top searched job categories for Python Quantitative Algorithmic Trading jobs in Bakersfield, CA are:

What cities near Bakersfield, CA are hiring for Python Quantitative Algorithmic Trading jobs?

Cities near Bakersfield, CA with the most Python Quantitative Algorithmic Trading job openings:

Infographic showing various Python Quantitative Algorithmic Trading job openings in Bakersfield, CA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $175,530 per year, or $84.4 per hour.

Education Data Scientist

Bakersfield, CA • On-site

Kern Community College District
Colleges, Universities, and Professional Schools • 1 - 5K employees

$7.6K - $10K/mo

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

Salary: $7,635.85 - $10,789.27 Monthly
Location : District Office, CA
Job Type: Classified
Job Number: FY26-2700030
College: District Office
Department: Institutional Research
Opening Date: 08/11/2026
Closing Date: Continuous
Assured Consideration Date: 08/25/2026
Internal Posting Information: None
Below is our job description for this position. Please also review the Important Instructions & Additional Information section below, which contains valuable information about our application process.
Basic Function
Reporting to the Dean of Institutional Effectiveness, the Education Data Scientist uses their experience in institutional research and higher education in combination with their data scientist skillset to support the institutional research in developing insights and tools that increase student success.
DISTINGUISHING CHARACTERISTICS:
The Education Data Scientist analyzes large amounts of raw information to find patterns that will help improve operations and student success. Responsibilities include analysis of current and historical data on students, staff, departmental workload, enrollment, retention, and graduation. The Education Data Scientist executes strategic, innovative data driven analyses that provide valuable insight, working closely with other members of the Office of Institutional Effectiveness in gathering, analyzing, and reporting data. The EDS supports the development of dashboards, data visualizations, and automated reports and consults regularly with campus stakeholders, building productive professional relationships to understand their current processes and needs and to proactively identify opportunities for collaboration, automation, advanced analytics, and project development.
Representative Duties
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Use machine learning and other approaches to analyze and categorize student engagement and learning
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to operational challenges including ways to maximize student success
Collaborate with institutional research, planning, and development teams
Perform related duties as assigned.
Minimum Qualifications
Any combination equivalent to: Bachelor's degree in Information Systems, Computer Science or related field and 2 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
An Associate's degree in Computer Science and 4 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
High school diploma, GED or equivalent certificate of competency and 5 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
PREFERRED QUALIFICATIONS:
Graduate degree in Data Science or another quantitative field.
Knowledge & Abilities
KNOWLEDGE OF:
Knowledge of data extraction, collection, and analysis tools (e.g., R, SQL, Python); familiarity with Canvas, Scala, Java or C++ is an asset
Knowledge of machine-learning research
ABILITY TO:
Ability to use business intelligence tools (e.g., Tableau), data warehouses, and data frameworks (e.g., AWS, Redshift, Hadoop)
Interact, participate and conduct presentations to individuals, college groups, committees, organizations and others as assigned.
Analytical mind and problem-solving aptitude
Prepare comprehensive statistical and narrative reports.
Establish and maintain cooperative working relationships
Maintain a positive working environment and work towards a common goal.
SALARY RANGE
$7,635.85 - $10,789.27 monthly
Maximum Entry Level Salary: $ 8,022.42 monthly
SPECIAL INSTRUCTIONS
First Review of Applications: Complete application packets will be accepted until the position is filled; but those received by August 25, 2026, are assured consideration. The College reserves the right to extend time limits or re-initiate the recruitment/selection process at any point.
Completed application packet must include:
  • Completed Online Application for Employment form
  • Current resume
  • Letter of interest (Cover Letter)
  • Copy of legible transcripts
  • List of five (5) professional references - Listed on application form

It is the applicant's responsibility to redact (or remove) any personal information from all documents prior to uploading. This includes Social Security Numbers, Date of Birth, and any photos of the applicant.
Foreign Degree: Applicants with foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your on-line application.
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. EEO Plan 2021-2024
Note: The District is strongly committed to achieving staff diversity and the principles of equal employment opportunity. The District encourages a diverse pool of applicants and does not discriminate on the basis of national origin, religion, age, gender, gender identity, gender expression, race or ethnicity, color, medical condition, genetic information, ancestry, sexual orientation, marital status, physical or mental disability, pregnancy, or because he/she is perceived to have one or more of the foregoing characteristics, or based on association with a person or group with one or more of these actual or perceived characteristics or any other characteristic protected by federal, state or local law, in any of its policies, procedures or practices. Discrimination Free Work Environment
The District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
Important Instructions & Additional Information
Complete applications received by the "assured consideration date" above are guaranteed to be reviewed by Human Resources. If you apply after this date, there is no guarantee that your application will be reviewed. However, we still recommend that you apply because recruitments remain open until filled. The District and/or College reserves the right to extend time limits and/or repost or restart recruitments at any point.
Completed applications must include the following.
  • Completed online application for employment
  • Current resume
  • Letter of interest (cover letter)
  • List of 5 (five) professional references (entered in online application)
  • Copy of legible transcripts (if required for the position)

It is your responsibility to redact or remove any personally identifiable information from all documents prior to uploading, including Social Security numbers, date of birth, photos, etc.
For all positions, sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds of community college students, shall be considered a core system competency and job requirement. ()
Equivalency for Minimum Qualifications
Applicants for faculty and educational administrator positions in California Community Colleges are required to meet certain minimum qualifications as provided by the California Community Colleges Chancellor's Office and detailed in the If you do not meet these minimum qualifications, you may still be eligible by completing the KernCCD Application for Equivalence process. Please see our for more information.
International or Foreign Degrees
Applicants with international or foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your online application.
Accommodations
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. (For more information, see our )
Discrimination Free Work Environment
Discrimination based on race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation of any person, military and veteran status, or the perception that a person has one or more of these characteristics is illegal and violates Kern Community College District policy.
The Kern CCD Equal Employment Opportunity Plan guides the development, implementation, and monitoring of the District's efforts to foster equal employment opportunities and workplace diversity.
See our for more information.
Work Authorization
Kern Community College District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
E-Verify
The Kern Community College District participates in the U.S. Department of Homeland Security's E-Verify program to verify the identity and employment eligibility of all newly hired employees. To learn more about E-Verify, please visit
Helpful Links
Full-time permanent employees (20+ hours per month) are eligible for health benefits:
  • Health
  • Dental
  • Vision
  • Life Insurance
  • Long-term Disability

In addition to the above benefits, the District also offers a robust voluntary benefits selection:
  • Flex 125
  • Additional products and services through American Fidelity
  • Supplemental Voluntary Life Insurance
  • Tax Shelter Annuities

The District participates in CalPERS Retirement System and Social Security benefits for Classified and Management employees. Employees covered under the California Public Employees Retirement System (CalPERS), are vested 100% after five years of full-time service credit.
The District participates in the State Teacher's Retirement System (STRS) for faculty. Employees covered under the State Teacher's Retirement System (STRS), are vested 100% after five years of full-time service credit.
All coverages begin on the first of the following month after the hire date.
The following classifications are eligible for the Affordable Care Act (ACA) health benefits at the employee expense offered through SISC:
  • Permanent Employees (19 hours or less)
  • Adjuncts
  • Temporary Hourly
  • Professional Experts

For additional information, please visit our

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About Kern Community College District

Sourced by ZipRecruiter

Kern Community College District (KCCD) is a reputable organization in the educational sector based in Bakersfield, California, United States. Their industry consists of higher education services focused on providing quality and diverse learning experiences to meet the educational and workforce development needs. Dating back to its establishment in 1968, KCCD has grown substantially, managing three accredited colleges: Bakersfield College, Cerro Coso Community College, and Porterville College. The mission of KCCD is to provide outstanding educational programs and services that are responsive to the diverse needs of the students, communities, and economy.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Bakersfield, CA, US

Year founded

1961