Junior Quantitative Researcher; Systematic Strategies

Job in Genf, Geneva, Switzerland

Listing for: Eka Finance

Full Time position
Listed on 2026-06-04

Job specializations:

IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst

Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR

Position: Junior Quantitative Researcher (Systematic Strategies)
Location: Genf

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

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

Requirements

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)

Preferred / Nice to Have

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

What We Offer

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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