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Senior Mathematician / Quantitative Research Scientist

AstraQuant Labs
Seattle, WA
Salary Estimate
USD 140.000 – USD 180.000
Posting Time
4 Mei 2026
Deadline
4 Mei 2027

Job description

Join AstraQuant Labs, a premier analytics and research company shaping the future of data-driven decision making. We are seeking a Senior Mathematician / Quantitative Research Scientist to lead mathematical modeling, develop rigorous theories, and drive real-world impact across finance, engineering, and operations.

In this role you will collaborate with cross-functional teams, publish findings, and mentor junior researchers. Our ideal candidate combines deep theoretical knowledge with practical implementation skills, and thrives in a fast-paced, intellectually rigorous environment.

Responsibility

  • Lead the development of mathematical models for real-world problems across finance, risk, and optimization.
  • Translate domain requirements into formal specifications and algorithms.
  • Collaborate with data scientists and engineers to deploy models in production.
  • Validate models using simulation, backtesting, and robust statistical methods.
  • Publish findings in internal reports and external venues; mentor junior researchers.
  • Lead experimental design, data collection strategies, and performance metrics.
  • Communicate results to non-technical stakeholders with clear visuals.

Qualification

  • PhD in Mathematics, Statistics, or related field; or MS with substantial research portfolio.
  • Strong theoretical foundation in linear algebra, probability, statistics, optimization, and numerical analysis.
  • Proficiency in programming languages such as Python, R, MATLAB; experience with scientific computing libraries.
  • Experience with machine learning methods and their mathematical underpinnings.
  • Proven track record of independent research, publications, or patents.
  • Excellent communication and collaboration skills; ability to explain complex concepts to non-experts.
  • Experience with data visualization and reporting tools.
  • Strong problem-solving, time management, and ethics in research.

Required Skills

mathematics statistics linear algebra probability optimization numerical analysis Python R MATLAB machine learning data modeling scientific computing

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