Quantitative Developer (US)

Location: US Preference is given to candidates who can work in Denver, Colorado. However, we are also open to candidates based in Texas, Illinois, and Massachusetts

Reports to: Manager of Quantitative Development

Job Type: Full-Time

Industry: Commodities & Energy analytics

About us

Founded in 1995, Zema Global Data Corporation empowers organizations to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results. Over the past two years, Zema Global has accelerated its growth through strategic investment and acquisition to strengthen our global leadership. Together we’re helping our customers gain a Decisioning Advantage – one bold idea at a time. With a presence across global energy, commodity, and financial markets, Zema Global empowers customers to simplify complexity, reduce risk, and make faster, more confident decisions that drive measurable results.

At Zema Global, we Think Big, Make It Happen, and Win as One. We thrive on collaboration, creativity, and respect, united by a shared drive to innovate and deliver meaningful impact for our customers and communities. If you’re inspired by solving complex challenges and contributing to a culture that values purpose and performance, we invite you to join us.

Job overview

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 the traditional generation that enables it. Zema Global’s analytical offerings are built specifically for energy companies and span a broad array of industry verticals including energy trading, electricity production (thermal, renewable, and storage), retail energy, gas procurement and transportation, risk management, portfolio optimization, and others.

We are seeking a Quantitative Developer to help develop, enhance, validate, and support quantitative models delivered through our web-based SaaS analytics platform. This role combines quantitative problem-solving, programming, and analytical thinking to solve complex real-world challenges within the global energy and commodities markets.

The ideal candidate will bring strong mathematical and coding foundations, curiosity for solving complex technical problems, and the ability to translate quantitative concepts into practical business applications. This is an excellent opportunity for early-career quantitative talent looking to apply advanced analytical techniques in a highly collaborative and fast-paced environment.

KEY 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.
• Assist Zema Global staff with use or maintenance of quantitative models.

CANDIDATE REQUIREMENTS

Must have

• 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. Candidates with a B.S. degree and exceptional quantitative and coding capability demonstrated through internships, research, projects, or academic achievement will also be considered.
• 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 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.

*** No visa sponsorship is available for this position ***

Equality and Diversity

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.