Student Quant Trader

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)

#J-18808-Ljbffr