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Quantitative Trading Jobs in Hawaii (NOW HIRING)

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$119K/yr

Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical ... Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the ...

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$140 - $210/hr

Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical ... Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the ...

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical ... Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the ...

BELFOR Holdings

Sales Account Manager

Aiea, HI

You will be required to attend client meetings and trade shows as appropriate. Responsibilities ... Provide quantitative data to support results of Marketing events to management * Develop and ...

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All JobsQuantitative Trading JobsQuantitative Trading Jobs in Hawaii

Quantitative Trading information

See Hawaii salary details

$101.8K

$176.3K

$269.6K

How much do quantitative trading jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quantitative trading in Hawaii is $176,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,700.00 and $206,800.00 per year, depending on experience, location, and employer.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.

What are the key skills and qualifications needed to thrive as a quantitative trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

How much do quantitative traders make?

Quantitative traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with successful traders earning significantly more through performance-based incentives.

What do you do as a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities, often using tools like Python, R, or MATLAB, and work in fast-paced financial environments to execute trades based on algorithmic signals.

What are the most commonly searched types of Quantitative Trading jobs in Hawaii?

The most popular types of Quantitative Trading jobs in Hawaii are:

What are popular job titles related to Quantitative Trading jobs in Hawaii?

For Quantitative Trading jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Quantitative Trading jobs in Hawaii look for?

The top searched job categories for Quantitative Trading jobs in Hawaii are:

Quantitative Trading jobs near you
Infographic showing various Quantitative Trading job openings in Hawaii as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $176,341 per year, or $84.8 per hour.

Data Scientist - Journeyman

Bigbear.ai

Honolulu, HI • On-site

$119K/yr

Full-time

Posted 9 days ago

Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.
You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted "single source of truth" repositories in accordance with strict security and classification protocols.
What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive-level data storytelling via visualizations/dashboards

What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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