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Quant Engineer Jobs in Hawaii (NOW HIRING)

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

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

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

$198K/yr

You Have: * 8+ years of experience in DoD Acquisition, Systems Engineering, Space Operations, or ... Experience in military modeling, simulation, and analysis (M&S) or quantitative wargame analysis

Showing results 41-60

Quant Engineer information

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What are popular job titles related to Quant Engineer jobs in Hawaii? For Quant Engineer jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Hawaii look for? The top searched job categories for Quant Engineer jobs in Hawaii are:

Data Scientist with Security Clearance

MANTECH

Aiea, HI • On-site

Other

Re-posted 22 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

MANTECH seeks a mission-driven and innovative Data Scientist to join our team in Oahu, Hawaii. In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational effectiveness. This role directly supports national defense priorities and partners with key mission stakeholders. Responsibilities include but are not limited to: * Design and deploy predictive models, data pipelines, and statistical analyses to inform mission decisions.
* Translate data into actionable intelligence for both technical and non-technical audiences, contributing to strategic and operational planning.
* Leverage AI/ML technologies to build models that support command objectives, including readiness assessments, resource optimization, and mission planning.
* Collaborate with multi-functional teams including data engineers, logisticians, and operations planners to deploy and refine ML models using Government MLOps platforms.
* Develop advanced data visualizations to enhance situational awareness and enable faster, informed decision-making in distributed environments.
* Document methodologies and processes to ensure reproducibility, knowledge sharing, and seamless transition across analytic teams.
* Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics. Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
* 9+ years of relevant experience, including 4+ years leading data science initiatives and developing predictive models
* Proficiency in Python, R, or similar languages for statistical analysis and model development
* Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
* Skilled in data querying using SQL/NoSQL and working within cloud environments (AWS, Azure, or GCP)
* High School and 4 years of additional experience or Associate's Degree and 2 years of additional experience may be exchanged in lieu of a required Bachelor's degree Preferred Qualifications: * Master's or Ph.D. in a quantitative discipline
* Experience supporting Department of Defense and/or Intelligence Community missions
* Familiarity with geospatial tools such as ArcGIS or QGIS
* Experience with containerization (e.g., Docker) and DevSecOps pipelines
* Working knowledge of Agile development methodologies and Git-based version control Clearance Requirements: * Must hold an Active TS/SCI clearance. Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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