Junior Quantitative Researcher (Systematic Strategies)

About the Role

We are seeking a highly talented Junior Quantitative Researcher to join our systematic investment team in Geneva. This is an opportunity to work in a rigorous, research-driven environment alongside experienced portfolio managers and researchers. You will contribute to the full lifecycle of systematic strategy development—from data exploration and modelling, to implementation and performance analysis.

Key Responsibilities

1. Conduct quantitative research to support the development and enhancement of systematic strategies, with a focus on macro and cross-asset signals
2. Analyse large and complex datasets; design and test predictive models
3. Implement research ideas in clean, efficient, and production-ready code
4. Collaborate with senior researchers and PMs to translate research insights into tradable signals
5. Monitor model performance and support ongoing strategy improvements

Requirements

1. PhD from a top-tier institution in a quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, Engineering, or related field)
2. 0–3 years of experience in quantitative research, data science, or systematic investing
3. Excellent coding skills , ideally in Python and/or C++, with strong software engineering best practices
4. Solid understanding of statistics, machine learning, time-series modelling, and optimisation techniques
5. Strong analytical mindset, intellectual curiosity, and a rigorous approach to problem solving
6. Must already be based in Geneva (requirement for this role)

Preferred / Nice to Have

1. Experience or strong interest in systematic macro , cross-asset modelling, or alternative data
2. Familiarity with market microstructure, portfolio construction, or production-level research workflows
3. Exposure to cloud-based compute environments and modern data engineering tools

What We Offer

1. The opportunity to work within a high-performing, collaborative systematic investment team
2. Competitive compensation package
3. Access to cutting-edge data, tools, and compute resources
4. A merit-based culture where intellectual contribution is valued and rewarded