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Mathematician

Pinnacle Quant Analytics
Cambridge, MA
Salary Estimate
USD 120.000 – USD 180.000
Posting Time
5 Mei 2026
Deadline
5 Mei 2027

Job description

Pinnacle Quant Analytics is seeking a highly motivated mathematician to join our research team in Cambridge, MA. This role focuses on abstract theory and its application to data-driven modeling. You will work with a world-class team to push the boundaries of mathematical insight and translate theory into scalable solutions.

We offer a dynamic, collaborative environment that rewards curiosity, rigor, and impact.

Responsibility

  • Lead advanced mathematical research across number theory, algebra, and related fields to drive foundational insights.
  • Collaborate with data scientists and engineers to design, implement, and validate computational models and algorithms.
  • Develop rigorous proofs, conduct simulations, and advance analytical methodologies.
  • Mentor graduate students and interns; present findings at internal seminars and external conferences.
  • Publish research results in peer-reviewed journals and contribute to grant proposals.
  • Build reproducible code and documentation using Python, MATLAB, Sage, and LaTeX.
  • Contribute to curriculum development and mathematical education outreach within the university and community.
  • Engage in cross-disciplinary projects that connect theory with real-world data challenges.

Qualification

  • PhD in Mathematics or related field, or equivalent research experience.
  • Strong background in at least two of: number theory, algebra, combinatorics, topology, or mathematical analysis.
  • Proficiency in mathematical software (MATLAB, Sage, Mathematica) and programming (Python, R).
  • Experience with data analysis, statistical modeling, and numerical methods.
  • Excellent written and verbal communication; track record of publications is a plus.
  • Ability to work independently and collaboratively in a dynamic, research-driven environment.
  • Strong organizational skills and commitment to mentoring and knowledge sharing.

Required Skills

Mathematical modeling Number theory Algebra Topology Statistics Python R MATLAB Sage LaTeX data analysis algorithm design scientific writing

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