40 finance English-speaking jobs in Aalborg

and compliance requirements Are fluent in English (written and spoken) Hold a relevant degree in Finance ... understands the financial mechanics of international operations and wants to contribute to a high‑performing finance

modelingSpeak and write English fluentlyPreferably have an educational background within business, finance

Master's degree in finance, mathematics, economics, or a relevant field.

analysis into clear recommendations.Must-have qualifications:Relevant academic degree in Economics, Finance

leadership structures and technical complexity – is an advantage, as is familiarity with Microsoft D365 Finance

RequirementsUniversity law degree with specialisation in business, finance/economics or comparable.Several

CD, containerization etc) is desirable.Familiarity with mathematical and statistical models used in finance

to explore and apply emerging AI trends.Experience with CRM systems and Microsoft Dynamics 365 for Finance

Master's degree in Economics, Finance, Mathematics, or a related field.

Quantitative educational background, such as physical sciences, math, engineering, statistics, economics, or finance

range of teams and functions, which may include trading and optimisation, gas, power, LNG, origination, finance

date between Spring 2027 and Spring 2028 Currently pursuing a degree in business administration, law, finance

key stakeholders including the account team, category, activation team, sales capability and customer finance

Must-have qualifications: Relevant academic degree in Economics, Finance, Mathematics, Engineering,

across Norlys Track strategic progress and support executive decision‑making in collaboration with finance

Experience with CRM systems and Microsoft Dynamics 365 for Finance and Operations is an advantage but

Experience with CRM systems and Microsoft Dynamics 365 for Finance and Operations is an advantage but

across Norlys Track strategic progress and support executive decision-making in collaboration with finance

Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives

#39;re looking for Experience from data-heavy commercial environments (energy trading, commodities, finance