Commodities Quantitative Researcher – Systematic Global Macro

Commodities Quantitative Researcher – Systematic Global Macro

Commodities Quantitative Researcher – Systematic Global Macro

Location:

Flexible (Preference for Zug, Switzerland)
Salary Range:
In region of $150,000 to $250,000 OTE (Dependant on performance)

About the Role:

An exciting opportunity has arisen for a talented

Commodities Quantitative Researcher to join a growing and innovative systematic global macro team. This role is perfect for someone who thrives in a collaborative, fast-paced environment and is passionate about applying cutting-edge techniques to drive the development of systematic trading strategies. As part of the team, you'll focus on developing signals and strategies across the global commodities markets (including energy, metals, and agriculture), as well as fixed income and FX.

• Market & Data Exploration:
  
  Identify new global markets and onboard relevant datasets to drive research innovation.
• Data Analysis:
  
  Work with large, complex datasets to generate alpha through quantitative analysis, focusing on commodities.
• Signal Development:
  
  Develop systematic trading strategies by researching and applying signals from a variety of market and fundamental datasets.
• Collaboration:
  
  Work closely with senior team members and other stakeholders, engaging throughout the entire investment process from idea generation to execution.

• Programming Expertise:
  
  Strong proficiency in Python; experience with C is a plus.
• Academic Background:
  
  Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field.
• Communication & Problem-Solving:
  
  Strong analytical and problem-solving abilities, combined with the ability to communicate complex concepts clearly.

• 2-4 years of experience in quantitative research, particularly in the commodities markets (agriculture, energy, metals) or related areas such as FX, fixed income, or equity index strategies.
• Experience modeling futures curves, cross-market relationships, and analyzing commodity market datasets.
• Exposure to macroeconomic, econometrics, or asset pricing research is highly beneficial.

• Knowledge of machine learning, statistical techniques, and related libraries.

• Career Growth:
  
  This role offers exceptional opportunities for professional development within a high-performing team.
• Compensation:
  
  A competitive compensation package, including a base salary, performance bonus, and comprehensive benefits.
• Flexible
  
  Location:
  
  While there is a preference for candidates based in Switzerland, other locations will also be considered.