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Quantitative Developer Jobs in Hawaii (NOW HIRING)

ManTech

Logistics Operations Research Analyst

Aiea, HI · On-site

$85K - $141K/yr

Master's degree in Operations Research, Systems Engineering, or related quantitative field. * Experience supporting logistics operations or planning initiatives. * Familiarity with contingency ...

GRVTY

Data Scientist 2

Honolulu, HI

Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Establish quantitative and qualitative metrics and key performance indicators to drive technical ... Experience in data engineering and programming languages such as R, Python, or SQL * Experience ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Hawaii

Quantitative Developer information

See Hawaii salary details

$101.8K

$176.3K

$269.6K

How much do quantitative developer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative developer 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 do you do as a quant developer?

A quantitative developer designs, implements, and maintains algorithms and models used for trading, risk management, and financial analysis. They typically work with programming languages like Python, C++, or Java and use data analysis tools to develop automated trading systems. Strong mathematical, statistical, and coding skills are essential in this role, often within a fast-paced financial environment.

What jobs pay $500,000 a year in the US?

Quantitative developers in finance, such as those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong programming skills in languages like C++ or Python, and expertise in financial modeling and risk management.

How does a Quantitative Developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is a quant developer's salary?

A quantitative developer's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often available in financial hubs and for those with advanced skills in programming, mathematics, and financial modeling. Bonuses and profit sharing can significantly increase total compensation for experienced professionals.

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

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What are Quantitative Developers?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What jobs make $1,000,000 a year?

Quantitative developers in finance, hedge fund managers, and senior traders can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. Success in these roles typically requires advanced programming skills, strong financial knowledge, and experience with trading algorithms or risk management tools.
More about Quantitative Developer jobs
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Quantitative Developer jobs near you
Data Scientist - Jr. with Security Clearance

Data Scientist - Jr. with Security Clearance

Bluehawk, LLC

Honolulu, HI • On-site

Other

Posted 3 days ago

Job description

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions. This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage. Responsibilities * Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
* Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
* Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
* Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
* Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
* Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
* Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
* Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
* Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
* Apply experimental design principles to test hypotheses and evaluate intelligence processes.
* Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
* Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
* Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
* Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings. Qualifications Education * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Required Skills * Proficiency in Python, R, SQL, or similar programming languages.
* Experience with data visualization platforms such as Power BI or Tableau.
* Strong understanding of statistical techniques and modeling approaches.
* Foundational knowledge of AI/ML concepts and applications.
* Experience working with relational and/or NoSQL databases.
* Familiarity with cloud-based big data technologies.
* Ability to explain complex technical findings to non-technical audiences.
* Understanding of intelligence analysis processes and mission requirements.
* Experience working with structured and unstructured datasets in complex environments.
Experience * Minimum of 1 to 2 years of experience in data science, analytics, machine learning, or related technical fields. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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