Student Quant Trader

ARO Inc.; Aarhus; Hybrid; DKK 134,000 - 201,000; Full time

Benefits offered by this job

Flexible hours

Direct sparring with engineers

Live impact on workflows

Job summary

ARO Inc. in Aarhus is seeking a Student Quant Trader to join the quant/engineering team. You will help push algorithms and tooling forward while working with real-time and historical data in a cloud-first environment.

You’ll develop Python tooling for analysis and automation, perform ad-hoc data work, and collaborate with engineers and the quant team to deliver production-ready solutions. Flexible hours and a strong learning environment are offered.

Qualifications

• Study finance, economics, computer science, software engineering, data science, mathematics, physics or a similar quantitative field.
• Strong in Python and data analysis.
• Familiar with Excel for data handling, pivots and modelling.

Responsibilities

• Assist in the development and oversight of trading algorithms and strategies.
• Build and maintain Python tooling for analysis, monitoring, validation and automation.
• Support quant traders with ad-hoc analyses, data extracts and fast answers.
• Work with real-time and historical trading data hosted in GCP.
• Improve reliability in a 24/7 trading setup with observability and alerts.
• Collaborate with engineering and data teams on cloud-based multi-service platform integrations (Node.js and C#).

Skills

Python

Excel

Data analysis

Education

Quantitative field study

Tools

GCP

Node.js

C#

Job description

Student Quant Trader

Tackle real-world challenges in 24/7 power trading at Aro in central Aarhus – join a social, ambitious team with high freedom, steep learning, and lots of fun along the way.

At Aro.inc, we’re building a fast-paced, tech-first power trading company with big ambitions: redefining how the energy sector works through technology, AI and automation. Our systems run 24/7, which means our platform must be robust, scalable and resilient, and we treat data as a first-class citizen in everything we do.

We’re now looking for a Student Quant Trader to support our quant team and help push our algorithms and tooling forward.

What you’ll do

As a student worker, you’ll be an integrated part of the quant/engineering collaboration – not “just” a helper. You will:

• Assist in the development and oversight of trading algorithms and strategies.

• Build and maintain with Python tooling for analysis, monitoring, sanity checks, and workflow automation (e.g., performance tracking, data validation, quick diagnostics).

• Support our quant traders with ad-hoc analyses, data extracts, and “fast answers” when time is tight.

• Work hands‑on with real‑time and historical trading data hosted in GCP.

• Improve reliability in a 24/7 trading setup by strengthening observability, alerts, runbooks and operational checks.

• Connect the dots between quant needs and production systems by collaborating with the engineering- and data team on integrations into our cloud-based multi-service platform (primarily Node.js and C#).

Who you are

You might be a great fit if you:

• Study finance, economics, computer science, software engineering, data science, mathematics, physics, or a similar quantitative field - but with a strong business mind.

• Are strong in Python.

• Are confident in Excel (structure, pivots, models, debugging).

• Like taking ownership and finishing tasks end-to-end (from “idea” to something the team trusts and uses).

• Communicate clearly in English and enjoy working in a small, focused team.

What we offer

• A high-tempo, tech-first culture with freedom and responsibility.

• Direct sparring with engineers, data and the quant team.

• Real impact: what you build gets used in live workflows.

• Flexible hours alongside your studies.

Practical

• Location: Aarhus (central)

• Start: ASAP

• Hours: Typically 15–20 hours/week (flexible)