Job description
Join Nexus Quantitative Research as a Mathematics Research Scientist. We seek a highly skilled mathematician to develop advanced models and algorithms across finance, risk, and data science. You will translate complex theory into practical solutions with measurable impact.
In this role you will collaborate with data engineers and software developers to deploy scalable models, publish your findings, and contribute to grant proposals. A PhD in Mathematics or a closely related field is preferred, with a proven record of research excellence and real-world application.
Responsibility
- Develop and refine mathematical models for complex problems in finance, risk management, and scientific computing.
- Design and analyze algorithms with rigorous proofs and empirical validation.
- Collaborate with data engineers and software developers to deploy scalable, production-ready solutions.
- Conduct numerical experiments, interpret results, and drive iterative model improvement.
- Mentor junior researchers and contribute to grant proposals and publications.
- Present findings to internal and external stakeholders and translate technical concepts for non-technical audiences.
Qualification
- PhD in Mathematics, Statistics, Applied Mathematics, or a closely related field; or a master's degree with strong research publication and project experience.
- Strong background in analysis, probability, numerical methods, optimization, and statistical modeling.
- Proficiency in Python (NumPy/SciPy), Julia, R, and MATLAB; experience with ML libraries is a plus.
- Demonstrated track record of peer-reviewed publications and the ability to translate theory into practice.
- Excellent problem-solving, communication, and collaboration skills; able to explain complex ideas to diverse audiences.
- Experience with data analysis, experimental design, and reproducible research practices.
- Ability to work independently in a fast-paced environment and contribute to multi-disciplinary teams.