Job description
Join Lumina Quant Labs as a Senior Applied Mathematician, where theory meets real-world impact. In this role, you will work at the intersection of rigorous mathematical analysis and practical computational methods to solve challenging problems in finance, physics, and data-driven sciences. You will collaborate with a multidisciplinary team of researchers, software engineers, and data scientists to develop robust models, implement scalable algorithms, and communicate complex ideas to stakeholders.
We offer a dynamic, intellectually stimulating environment with access to state-of-the-art computing resources, opportunities for publication and collaboration, and a clear path to leadership within the quantitative research group.
Responsibility
- Design, analyze, and validate mathematical models for complex systems across multiple domains (finance, physics, data science).
- Develop and implement numerical methods and simulations that are accurate, efficient, and scalable.
- Collaborate with data scientists and software engineers to translate theoretical insights into production-ready algorithms.
- Evaluate model performance using rigorous statistical and numerical experiments; document findings and suggest improvements.
- Mentor junior team members, review code and research contributions, and contribute to strategic planning.
- Publish research results in peer-reviewed journals and present at conferences when appropriate.
- Contribute to the design of experiments and data collection strategies to support model validation.
- Communicate complex mathematical concepts clearly to non-technical stakeholders.
Qualification
- PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field.
- Strong expertise in differential equations, numerical analysis, probability, and statistical modeling.
- Proven programming proficiency in Python, Julia, MATLAB, or R; experience with HPC and large-scale data processing is a plus.
- Track record of impactful research, demonstrated by publications, conference talks, or successful projects.
- Excellent problem-solving skills, strong numerical intuition, and attention to detail.
- Ability to work independently and collaboratively in a fast-paced, interdisciplinary environment.
- Exceptional communication skills and a demonstrated ability to explain complex concepts to diverse audiences.
- Experience applying mathematics to real-world problems and delivering tangible results.