Trader

The Candidate

The ideal candidate for the position is a professional with a strong foundation in quantitative disciplines such as mathematics, statistics, or finance.. With a keen interest in financial markets and renewable energy systems, they are capable of developing models and algorithms to forecast trends and optimize trading strategies. Their effective communication and collaborative skills enable them to work closely with trading and research teams, while their attention to detail and problem-solving abilities ensure precise and actionable insights. This candidate is enthusiastic about continuous learning and adapting to evolving market dynamics and regulatory changes.

The Role

You will be strengthening our Trading and Portfolio management desk focussing on building, managing and trading REC and Carbon offset. This desk forms the beating heart of our Houston office. The trading and portfolio management teams takes full responsibility over our trading books and quotes live prices to the different sales-trading teams who have direct contact with market participants. You are (or become) the expert on the underlying drivers causing prices to change and all characteristics of the different systems and methodologies in place.

The role will consist of, but not limited to, the following actions on a daily basis:

Work and optimize our U.S. renewable energy market portfolios in order to capture all trading opportunities and monitor all risk

Identify trading opportunities resulting from our books, the Sales-Trading flow or market movements

Quote competitive prices on a daily basis to the sales-trading team

Work together with Mid-office for a daily reconciliation and with Risk for updated VAR monitoringStay updated on market activity through direct engagement with market participants such as traders, brokers and platforms

The Requirements

In order to be considered for the role you will meet the following:

Bachelor's degree or higher in mathematics, statistics, finance, economics, engineering, or related quantitative field.

Proficiency in programming languages such as Python and SQL

Strong quantitative skills, including econometrics, time series analysis, and optimization methods.

Understanding of financial markets, trading principles, and risk management concepts.

Excellent analytical and problem-solving abilities.

Effective communication and collaboration skills.

Attention to detail and accuracy in data analysis and modelling.

Living or willing to relocate to Houston, Texas.

Willingness to continuously learn and adapt to evolving market dynamics and regulatory changes.

The Offer

Inspirational work environment in the fastest-growing commodity sector.

Competitive salary and bonus scheme.

18 vacation days.

Personal development program.

Health Insurance.

Disclaimer

As part of our hiring process, you will be invited to our office to meet the team and your prospective manager.

Caely only publishes job vacancies through our official platforms: LinkedIn (Caely Renewables: Overview LinkedIn) and website (Home - Caely Renewables). All communication from Caely will be from a @caely.com email address only.

Caely is not affiliated in any way to third party recruiters unless authorized.

Please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately get in touch with us via email at upon receiving a suspicious invite or offer or claim.

About us

Caely Renewables (Caely) is a solution-driven company committed to tackling climate change—the defining challenge of our era. We combine expert advisory with hands-on execution to support counterparty in environmental commodity transactions, including carbon credits, biofuels, and renewable energy certificates. Our skilled, dynamic team partners with counterparties to not only meet but exceed carbon reduction targets. Headquartered in Amsterdam, Caely is expanding rapidly across Europe and North America, with local offices in Genoa, Houston, and Stockholm to advance the global transition toward a sustainable future.