Quantitative Research Scientist

Hushh Technologies LLC.; Kirkland (WA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated.

Our team includes researchers, engineers, and investment professionals who care about durable systems, clear thinking, and long-term value creation. This role focuses on designing systematic trading strategies, backtesting, and collaboration with data engineers to ensure high-quality model outputs.

Qualifications

• PhD or Master’s degree in a quantitative field is required.
• Strong research capability demonstrated by past work or publications.
• Proficiency in Python, R, or C++ and experience with cloud platforms.

Responsibilities

• Design and implement quantitative trading strategies using advanced data science and math.
• Develop predictive models and algorithms for investment opportunities.
• Backtest and optimize strategies for robustness across market conditions.
• Collaborate with data engineers to improve data inputs and outputs for models.
• Research market behavior to drive systematic investing solutions.

Skills

Python

R

C++

Education

PhD or Master’s in Mathematics/Statistics/CS/Physics

Tools

Cloud computing environments

Job description

Kirkland, WA (Hybrid/Remote options available)

$180,000 - $240,000

Full-time

About HushhTech

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated.

Our team includes researchers, engineers, and investment professionals who care about durable systems, clear thinking, and long-term value creation.

Responsibilities

• Use advanced data science, machine learning, and applied mathematics to design and implement quantitative trading strategies
• Develop and enhance predictive models and algorithms to identify actionable investment opportunities
• Backtest and optimize strategies to ensure consistent, robust performance in varying market conditions
• Collaborate with data engineers to refine data inputs and ensure high-quality outputs for models
• Research financial market behavior to develop innovative solutions for systematic investing

Skills, qualifications, and experience

• Ph.D. or Master's degree in Mathematics, Statistics, Computer Science, Physics, or a related field
• Demonstrated ability to conduct first-class research and apply insights to real-world problems
• Strong programming expertise in Python, R, or C++, with experience in cloud computing environments
• Solid understanding of financial markets and systematic investment strategies
• Track record of exceptional intellectual achievement and a passion for continuous learning