Quantitative Research Internship
IMMIX provides programmable digital-asset infrastructure through unified APIs, SDKs, and a user interface. It supports market data, trading and execution, treasury workflows, stablecoin transfers, yield workflows, and analytics for institutional and product teams.
Maintainer signals as of 9/2/2026
Funding history
Investors
About IMMIX
IMMIX operates a programmable infrastructure platform for tokenized asset markets. Its UI, SDKs, and REST, WebSocket, and FIX APIs provide normalized market data, execution and smart routing, transfers, treasury allocation, yield workflows, and real-time analytics. The platform serves analysts, traders, quant desks, market makers, asset managers, banks, fintechs, payment operators, and teams building tokenized-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Apply advanced quantitative modelling techniques to analyse market behaviour, develop mathematical foundations and implement execution algorithms. Contribute to R&D of execution strategies, predictive signals and control algorithms, build software to enhance execution, collaborate with researchers, traders and developers, and present periodic demos for feedback.
Requirements
- Studying a full-time PhD in a quantitative discipline such as mathematics, physics, computer science, statistics or a related field
- Experience programming in Python
- Experience with C++ or Java is a plus
- Experience with statistical analysis, numerical programming or machine learning using Python, Pandas, NumPy, R and/or MATLAB
- Passion for applying quantitative models and technology to real-world problems
- Strong communication skills
Responsibilities
- Conduct original quantitative research
- Apply advanced quantitative modelling techniques
- Develop mathematical foundations for execution algorithms
- Implement and develop software to enhance execution strategies
- Contribute to R&D of execution strategies, predictive signals and control algorithms
- Collaborate with researchers, traders and developers on real projects
- Present demos and incorporate feedback
Benefits
- Competitive salary
- Hybrid working pattern available
- Regular off-sites
- Team lunches and drinks
Hiring Process
Apply through the listed application form.