At a Glance
- Tasks: Develop and enhance quantitative models for trading in oil, gas, and power markets.
- Company: Leading global commodities trading firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with exposure to multiple trading desks.
- Why this job: Make a real impact by applying your analytical skills to real-world trading decisions.
- Qualifications: Strong background in Mathematics or related fields; programming skills in Python preferred.
The predicted salary is between 59400 - 72600 £ per year.
Cititec is working with a leading global commodities trading firm looking to hire a Quantitative Analyst. The team provides quantitative modelling, pricing and risk infrastructure across multiple trading desks, supporting activity across oil, gas and power markets. This is an opportunity to work closely with traders and other quantitative specialists on models and analytical tools that directly support commercial trading decisions.
The Role
- Developing and enhancing quantitative models used across oil, gas and power trading desks
- Working on pricing and valuation frameworks for physical and financial commodities
- Developing quantitative infrastructure for risk analysis, scenario modelling and decision-making
- Applying mathematical and statistical modelling techniques to real-world commodity markets
- Working closely with traders, analysts, developers and other quants to understand commercial requirements and translate them into robust quantitative solutions
- Improving existing models and methodologies, as well as developing new approaches where required
- Working with large and complex datasets and applying quantitative techniques to solve practical problems
- Contributing to a centralised quantitative platform that supports multiple trading teams across the business
What We're Looking For
The firm is looking for highly analytical, mathematically strong individuals who are interested in applying quantitative techniques to commodity markets. The ideal candidate will have:
- A strong academic background in Mathematics, Applied Mathematics, Physics, Engineering, Statistics, Computer Science or a related quantitative discipline
- Strong mathematical and quantitative modelling skills
- Experience developing or applying quantitative models in a professional environment
- Previous experience working as a Quantitative Analyst / Quant / Quantitative Researcher within commodities, energy or financial markets
- Good programming skills, particularly Python; experience with C++ or other quantitative programming languages is advantageous
- An ability to understand complex problems, structure them mathematically and develop practical solutions
- Strong communication skills and the ability to work closely with traders and other stakeholders
- Intellectual curiosity and an interest in understanding how quantitative models translate into real-world trading and risk decisions
The team is particularly interested in candidates who combine strong academic mathematical foundations with practical commodities experience. This could include quants who have worked within:
- Oil and refined products
- Natural gas
- Power and electricity
- Commodity derivatives
- Physical commodities
- Commodity trading houses
- Energy trading firms
- Banks or hedge funds with a commodities focus
Quantitative Analyst employer: Cititec
Cititec offers a dynamic and collaborative work environment in the heart of London, making it an excellent employer for those passionate about commodities trading. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry experts, enhancing your skills in risk management and reporting. The company's commitment to innovation and efficiency ensures that you will be part of a forward-thinking team dedicated to driving success in the biofuels and oil sector.
