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Part Time Algorithmic Trading Quant Jobs in California

Strong quantitative data & image analysis skills utilizing JMP, MATLAB, or similar tools ... preferred), including Six Sigma, P/T ratio, DoE, failure analysis, and system trade-offs.

Data Scientist, Mid

San Diego, CA · On-site

$61K - $141K/yr

You'll develop algorithms and systems and use the right combination of tools and frameworks to turn ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Strong quantitative data & image analysis skills utilizing JMP, MATLAB, or similar tools ... P/T ratio, DoE, failure analysis, and system trade-offs. Exceptional problem-solving skills with a ...

Part Time Algorithmic Trading Quant information

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 California? The most popular types of Algorithmic Trading Quant jobs in California are:
What are popular job titles related to Part Time Algorithmic Trading Quant jobs in California? For Part Time Algorithmic Trading Quant jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Algorithmic Trading Quant jobs in California look for? The top searched job categories for Part Time Algorithmic Trading Quant jobs in California are:
What cities in California are hiring for Part Time Algorithmic Trading Quant jobs? Cities in California with the most Part Time Algorithmic Trading Quant job openings:
Infographic showing various Part Time Algorithmic Trading Quant job openings in California as of July 2026, with employment types broken down into 21% Locum Tenens, 1% As Needed, 67% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution.
Data Scientist, Junior

Data Scientist, Junior

Booz Allen Hamilton, Inc.

San Diego, CA • On-site

$61K - $141K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243527
Location:
San Diego,CA,US
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Data Scientist, Junior
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • Experience with statistical and general-purpose programming languages such as R, Perl, Python, SAS, or SPSS, for data analysis
  • Experience with data exploration, data mining, data cleaning, data analysis, data visualization, machine learning, statistics, graph algorithms, or AI
  • Knowledge of machine learning, AI, or Natural Language Processing (NLP)
  • Knowledge of text mining or machine learning techniques
  • Ability to leverage expertise in data gathering and analytical work
  • Ability to analyze structured and unstructured data sources
  • Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
  • 2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • 2+ years of experience with machine learning, AI, or NLP
  • Experience with Palantir Foundry
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2
  • Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik
  • Secret clearance
  • Bachelor's degree in an Analytical or Engineering field such as CS, Data Science, Computer Engineering, or Systems Engineering, preferred; Master's degree in an Analytical or Engineering field such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914