Quantitative Developer (US)

About the role

Zema Global is revolutionizing the way energy companies access and use quantitative models to drive their businesses forward, from supporting the renewable transition to optimizing traditional generation. This role combines quantitative problem-solving, programming, and analytical thinking to solve complex real-world challenges within the global energy and commodities markets.

Responsibilities

• Develop new quantitative models or enhancements to existing models relative to detailed technical specifications.
• Gather detailed technical and functional model requirements.
• Validate new or existing models.
• Provide technical quantitative subject matter expertise.
• Interface with clients on model use, configuration, and calibration.
• Aid Zema Global staff with use or maintenance of quantitative models.

Requirements

• Candidates with a B.S. degree and exceptional quantitative and coding capability demonstrated through internships, research, projects, or strong academic achievement will also be considered.
• M.S. or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Engineering, Quantitative Finance, Operations Research, Physics, Computer Science, or a related field. 0-5 years of relevant experience, depending on educational background. Candidates with a Bachelor’s degree and some hands-on industry experience are highly preferred.
• Strong hands-on programming capability in Python or R, with experience building, testing, or maintaining quantitative/statistical models through academic research, internships, or commercial experience.
• Ability to clearly explain quantitative concepts, modelling approaches, and analytical findings to both technical and non-technical audiences.
• Strong analytical curiosity, problem-solving mindset, and ability to work collaboratively within a fast-paced environment.

Nice to have

• Practical exposure to one or more quantitative modelling techniques such as: time series analysis, Monte Carlo simulation, advanced regression and econometric techniques, advanced optimization techniques, including linear and non-linear programming, stochastic programming, and dynamic programming, machine learning.
• Exposure to energy, commodities, electricity markets, or energy systems modelling.
• Experience with forecasting, optimization, predictive analytics, or machine learning techniques in academic or commercial environments.
• Familiarity with software development and deployment tools such as git, Linux, Docker, or Kubernetes.
• Internship, research assistant, teaching, tutoring or other experience demonstrating strong communication and analytical capability.
• Experience working with large datasets, simulations, or analytical software platforms.

Additional Role Context

This role is best suited for candidates with strong quantitative and analytical foundations alongside coding capability, rather than traditional software engineering backgrounds alone.

Why Zema Global?

Be part of a rapidly growing company shaping how data drives decisions in energy and commodities. Work with cutting-edge technology alongside industry experts. Significant opportunity to impact strategy, revenue growth, and decision-making. Join a culture that values innovation, collaboration, and autonomy to drive meaningful change.

How to Apply

Send your CV highlighting your relevant experience (we only accept CVs in English). Only shortlisted candidates will be contacted. No agency submissions, please.

Additional Role Context

This role is best suited for candidates with strong quantitative and analytical foundations alongside coding capability, rather than traditional software engineering backgrounds alone.

Equal Opportunity Employer

Zema Global is committed to diversity and inclusion. We encourage applications from all qualified individuals and do not discriminate based on race, gender, sexual orientation, disability, or any other protected status.