Quantitative Analyst (AI)

Location: Westferry, London, United Kingdom. Relocation and expatriate assignments will not be considered. Employment visa sponsorship is not available, and applicants on time-limited visa status will not be considered.

Company

hirify.global operates in the global energy industry and manages a global commodities portfolio supported by trading, structuring, analytics, risk management, and commercial teams.

What you will do

• Develop, validate, maintain, and enhance quantitative models and analytical tools for commodity transaction valuation and portfolio optimization.
• Evaluate commercial opportunities, risks, value drivers, pricing structures, and embedded optionality across commodity contracts and portfolio positions.
• Support the development and improvement of analytics platforms and software used by commercial teams.
• Write well-documented code and contribute to modelling framework enhancements.
• Conduct quantitative and data-driven analysis for commercial decision-making.
• Collaborate with trading, structuring, analytics, risk management, and commercial teams across multiple global regions.

Requirements

• Master's degree, or expected completion before joining, in mathematics, physics, engineering, statistics, computer science, quantitative finance, operations research, or a related quantitative discipline.
• Strong quantitative, analytical, problem-solving, communication, and attention-to-detail skills.
• Understanding of mathematical modelling, probability, statistics, optimization, or financial mathematics.
• Proficiency in Python or another programming language such as C++, Java, R, or MATLAB.
• Ability to explain technical concepts to technical and non-technical audiences and work in collaborative, multicultural, cross-functional teams.
• Experience using AI-assisted software development tools such as GitHub Copilot, Cursor, or Claude Code.

Nice to have

• Experience in modelling, optimization, data science, machine learning, quantitative finance, or software development through internships, research, academic projects, or extracurricular work.
• Exposure to financial markets, commodities, energy markets, or trading concepts.
• Familiarity with numerical methods, simulation, statistical analysis, optimization algorithms, and Git.
• Interest in energy markets and the commercial drivers of the global energy industry.

Culture & Benefits

• Inclusive and diverse workplace focused on equality and meritocratic career progression.
• Support for employees with disabilities, including workplace adjustments and long-term career opportunities.
• Learning-focused and flexible working environment.
• Equal opportunity employment.