Junior Quantitative Researcher; Systematic Strategies
Job in
Genf, Geneva, Switzerland
Listed on 2026-02-28
Listing for:
Eka Finance
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Job Description & How to Apply Below
Location: Genf
Overview
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.
Responsibilities- Conduct quantitative research to support the development and enhancement of systematic strategies, with a focus on macro and cross-asset signals
- Analyse large and complex datasets; design and test predictive models
- Implement research ideas in clean, efficient, and production-ready code
- Collaborate with senior researchers and PMs to translate research insights into tradable signals
- Monitor model performance and support ongoing strategy improvements
- PhD from a top-tier institution in a quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, Engineering, or related field)
- 0–3 years of experience in quantitative research, data science, or systematic investing
- Excellent coding skills , ideally in Python and/or C++, with strong software engineering best practices
- Solid understanding of statistics, machine learning, time-series modelling, and optimisation techniques
- Strong analytical mindset, intellectual curiosity, and a rigorous approach to problem solving
- Must already be based in Geneva (requirement for this role)
- Experience or strong interest in systematic macro , cross-asset modelling, or alternative data
- Familiarity with market microstructure, portfolio construction, or production-level research workflows
- Exposure to cloud-based compute environments and modern data engineering tools
- The opportunity to work within a high-performing, collaborative systematic investment team
- Competitive compensation package
- Access to cutting-edge data, tools, and compute resources
- A merit-based culture where intellectual contribution is valued and rewarded
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