Quantitative Developer (London or Brighton, UK)
- Hiring from
- United Kingdom
- Work type
- Hybrid
- Posted
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Location: London or Brighton, UK
Reports to: Manager of Quantitative Development
Job Type: Full-time, Permanent
Work Model: Hybrid
Level: Associate / Early-career (1–3 years)
Industry: Energy Data, Commodities & Financial Technology & SaaS
Visa Sponsorship: Not available
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 develops advanced quantitative analytics solutions that help energy and commodities businesses make better decisions across energy trading, power generation, renewable energy, storage, risk management and portfolio optimization.
We are seeking a Quantitative Developer with approximately 1-3 years of relevant experience to develop, enhance, validate and maintain quantitative models delivered through our web-based SaaS analytics platform.
This role combines mathematical modelling, Python or R programming, and practical problem-solving to address real-world challenges in energy and commodities markets.
The ideal candidate will have strong quantitative foundations, hands-on modelling experience and some exposure to the energy or commodities industry. This is an opportunity for an early-career quantitative professional to deepen their technical expertise while working alongside experienced developers in a collaborative environment.
What You'll Be Doing
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.
What You'll Bring
Essential
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 Bachelor's degree and strong quantitative and coding capability demonstrated through professional experience, internships or applied research will also be considered.
Approximately 1-3 years of relevant experience in quantitative development, mathematical modelling, statistical analysis or a related technical field.
Strong hands-on programming skills in Python or R, with practical experience developing, testing or maintaining quantitative or statistical models.
Applied experience with at least one quantitative modelling technique, such as time series forecasting, Monte Carlo simulation, regression, econometrics, optimization or machine learning.
Some exposure to energy, electricity markets, commodities or energy systems modelling, gained through professional experience, internships, research or relevant technical projects.
Ability to explain quantitative concepts, modelling methodologies and analytical results clearly to technical and non-technical audiences.
Strong analytical thinking, problem-solving skills and the ability to work collaboratively within a technical team.
Desirable
Commercial experience developing, validating or maintaining quantitative models.
Experience with wholesale electricity markets, energy trading, renewable energy, power generation, storage or portfolio optimization.
Experience with advanced quantitative techniques, including stochastic modelling, linear or non-linear optimization, predictive analytics or machine learning.
Familiarity with software development tools and practices such as Git, Linux, Docker, Kubernetes, version control and code testing.
Experience working with large datasets, numerical simulations or analytical software platforms.
Research publications, technical internships, teaching or tutoring experience demonstrating analytical and communication skills.
Additional Role Context
This role is suited to candidates who enjoy combining mathematical problem-solving with hands-on programming to develop practical quantitative solutions. We welcome candidates from both commercial and applied research backgrounds who are interested in developing their expertise within energy and commodities analytics.
Why Join Zema Global?
Global Impact. Shape the future of energy, commodities, and financial markets through innovative technology.
Innovation at Scale. Work with cutting-edge software, advanced analytics, and complex data that solve real-world challenges.
Career Growth. Join a fast-growing global organization where your ideas, development, and career progression are valued.
Exceptional People. Collaborate with talented colleagues and industry experts across North America, Europe, and Asia.
Meaningful Ownership. Take ownership of your work, influence strategic initiatives, and make a measurable impact on our customers and business.
One Global Team. Be part of a collaborative culture built on trust, respect, and our values: Think Big. Make It Happen. Win as One.
