Modeller

at  Fastmarkets

Company Description
Fastmarkets is an industry-leading price-reporting agency (PRA) and information provider for global commodities, providing price data, news, analytics and events for the agriculture, forest products, metals and mining and new-generation energy markets.
Fastmarkets’ data is critical for customers seeking to understand and predict dynamic, sometimes opaque markets, enabling trading and risk management. Fastmarkets is a global business with a history dating back to 1865 and is built on trust and deep market knowledge. It has more than 600 employees spread across global locations in the UK, US, China, India, Singapore, Brazil, Belgium, Finland and beyond.
Job Description
As a Modeller in Carbon Markets, you will play a pivotal role in designing and building the next generation of sustainability analytics. Leveraging your quantitative skills in economics, statistics, data science, and Python (or other programming languages such as R), you will develop and maintain scalable, data-driven solutions. You will also maintain and improve the model codebase (e.g. perform code reviews, identify sources of technical debt), convert business requirements into modelling problems, and engage with business stakeholders to explain model insights. Your work will drive actionable insights for our analytics subscribers and empower strategic decision-making.

KNOWLEDGE, EXPERIENCE AND SKILLS

We are looking for an individual who is highly motivated, driven, and have a passion to be part of a fast-paced, successful team. Being a strong team player is also important as well as someone who is happy to work flexibly.

• Extensive experience in economic and/or mathematical modelling.
• Advanced proficiency in Python (or similar programming languages such as R), including experience using common data science packages.
• Experience working with optimization modelling tools and packages (e.g., PuLP, Pyomo, Gurobi) is desirable.
• Experience using cloud-based computing services (e.g., AWS, GCP, Azure) to host, deploy and execute models is desirable.
• Experience using version control systems (e.g., Git, Bitbucket) and other collaborative development tools and platforms (e.g. GitHub, Jira, Asana).
• Knowledge of carbon markets, regulatory frameworks, and emissions trading systems is highly desirable.
• Exceptional analytical thinking, problem-solving, and attention to detail.
• Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• A self-starter with strong project management skills, capable of managing multiple priorities in a fast-paced environment.

If you’re excited about the role but your experience, skills or qualifications don’t perfectly align, we encourage you to apply anyway.
Additional Information

YOU’VE READ A LITTLE ABOUT US – NOW IT’S OVER TO YOU!

If you like what you’ve read so far and think you can see yourself as a Fastmarkets person, it’s time to fill in your application form. This form is an important part of the selection process: it’s used to determine whether or not you’ll be chosen to have an interview and acts as a basis for the questions we’ll ask you on the day.
It’s vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why you’re great.

YOU’VE READ A LITTLE ABOUT US – NOW IT’S OVER TO YOU!

If you like what you’ve read so far and think you can see yourself as a Fastmarkets person, it’s time to fill in your application form. This form is an important part of the selection process: it’s used to determine whether or not you’ll be chosen to have an interview and acts as a basis for the questions we’ll ask you on the day.
It’s vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why you’re great

• Lead the development, enhancement, and maintenance of the core modelling framework for carbon market analytics and related analytics suites.
• Design and implement mathematical and economic optimization models tailored to solve complex, real-world problems.
• Collaborate closely with product managers and engineering teams to define modelling objectives and integrate our analytics into the broader product and technology ecosystems.
• Ensure code quality across the model development process both in own work and in reviewing the work of colleagues.
• Oversee rigorous testing, validation, and stress-testing of models to ensure accuracy, reliability, and alignment with industry best practices.
• Identify opportunities to optimize model scalability and performance, and work with engineers to ensure the ability to handle large datasets and intricate market scenarios efficiently.
• Stay ahead of industry trends and advancements in programming frameworks, and carbon market developments, incorporating relevant innovations into modelling practices.
• Prepare detailed documentation and present technical findings to both technical and non-technical stakeholders.