Finance Student: Data & Automation in Trading

Frey; Denmark; On-site; DKK 165,000 - 248,000; Part time

Job summary

Frey in Aarhus is seeking a Finance Student to support the Finance team with month-end close, reconciliations and reporting across trading verticals. You'll gain hands-on experience in data automation and the journey from Excel to automated data infrastructure.

The role offers 10–20 hours per week, a chance to learn Power BI, SQL and Microsoft Business Central, and exposure to commodities trading in a fast-growing international group.

Qualifications

• Enrolled in a relevant bachelor’s (later stage) or master’s programme in finance, economics, or business (e.g. HA, cand.merc., finance, or accounting), with a minimum of 1.5 years remaining of your studies.
• Strong analytical and numerical skills, structured and detail-oriented, with solid Excel skills.
• Clear written and verbal English communication skills.
• A genuine curiosity for data, technology, and automation - experience in Power BI, SQL, Microsoft Business Central, or AI/automation tools is considered a plus.

Responsibilities

• Support monthly P&L reporting and variance analysis across Frey’s trading verticals.
• Prepare and maintain reconciliations, including futures positions and mark-to-market balances.
• Build and maintain reporting in Power BI, supporting the shift from manual Excel work towards shared, automated data infrastructure.
• Support the development and testing of AI and automation tools that reduce manual finance tasks, and help maintain Microsoft Business Central through testing and process documentation.
• Assist with month-end close, data quality checks, and ad hoc analysis for the Finance Business Partner and the trading verticals.

Skills

Excel

Data analysis

Power BI

SQL

English communication

Education

Bachelor's degree student in finance

Tools

Power BI

SQL

Microsoft Business Central

Job description

Frey in Aarhus is seeking a Finance Student to support the Finance team with month-end close, reconciliations and reporting across trading verticals. You'll gain hands-on experience in data automation and the journey from Excel to automated data infrastructure.

The role offers 10–20 hours per week, a chance to learn Power BI, SQL and Microsoft Business Central, and exposure to commodities trading in a fast-growing international group.