Quant Infrastructure Student

Alipes ApS; København; Hybrid; DKK 134,000 - 201,000; Part time

Benefits offered by this job

Health insurance

25 days vacation

Hybrid work model

Flat hierarchy

Job summary

Alipes ApS in Copenhagen is seeking a Quant Infrastructure Student to join our team close to the metal, building production‑grade ML infrastructure for automated trading. You’ll work with quantitative researchers and ML engineers on data processing pipelines, latency improvements and deployable tooling, with a flexible hybrid office setup and strong peer collaboration.

Ideal candidates are enrolled in a technical BSc/MSc program in Denmark and eager to ship real systems in a fast‑growing fintech

Qualifications

• You don’t need years of experience, but you do need curiosity, strong fundamentals, and a willingness to build things that work.
• You are currently studying either a Bachelor's or Master's in Denmark.
• We’re looking for someone with: a scientific and inquisitive mindset, solid CS fundamentals (data structures & algorithms), strong Python skills around data preprocessing or pipeline building, interest in distributed systems or ML Ops, experience with datasets that don’t fit in memory, familiarity with at least one strongly typed language (C#, C/C++, Rust).
• Currently enrolled in a technical BSc/MSc program (CS, engineering, math, physics, etc.).

Responsibilities

• Help build and improve ML infrastructure powering our fully automated trading systems.
• Work with Python tooling for data processing and rapid model experimentation.
• Develop internal utilities to prototype, validate and deploy models.
• Improve latency, reproducibility and monitoring in deployment workflows.

Skills

Python

Data processing

Pipeline building

ML Ops

Distributed systems

C/C++/Rust familiarity

Education

Bachelor's or Master's in Denmark

Tools

Docker

Kubernetes

Ray

Spark

Dask

PyTorch

TensorFlow

XGBoost

CatBoost

Job description

Are you a talented hacker with a passion for data engineering and building things that actually run in production? Do you enjoy working close to the metal, solving real problems, and seeing your code go live within hours?

Then you might be the next Quant Infrastructure Student joining our team at Alipes!

About Alipes

At Alipes Capital, we have been a market leader in automating financial markets since our inception in 2008, pioneering fully automated natural language processing systems to read and interpret financial news.

To accomplish our goal of being the best at what we do, we are focused on building a world-class ML engineering workflow, ensuring seamless training, deployment and monitoring of our predictive models.

What you’ll do

• You’ll help us build and improve the ML infrastructure powering our fully automated trading systems. Expect hands‑on work with:
• Python tooling for data processing and rapid model experimentation.
• Internal utilities that make it easier for researchers to prototype, validate and deploy models.
• Improving latency, reproducibility and monitoring in our deployment workflows.

You’ll work closely with quantitative researchers and ML engineers, contributing directly to production‑grade systems.

About the team

You’ll join an informal, highly technical Quant team where ownership matters and good ideas move fast. We’re a tight‑knit group of researchers across 9 nationalities, all with strong backgrounds in math, modeling, and machine learning - and everyone writes code. We collaborate closely with our software developers and traders, working together on models end‑to‑end and engaging deeply in the technical details that make them work.

About you

• You don’t need years of experience, but you do need curiosity, strong fundamentals, and a willingness to build things that work. You are currently studying either a Bachelor's or Master's in Denmark. We’re looking for someone with:
• A scientific and inquisitive mindset.
• Solid understanding of computer science fundamentals (data structures & algorithms).
• Strong Python skills, especially around data preprocessing or pipeline building.
• Interest in distributed systems or ML Ops.
• Experience working with datasets that don’t fit in memory.
• Familiarity with at least one strongly typed language (C#, C/C++, Rust, etc.).
• Currently enrolled in a technical BSc/MSc program (CS, engineering, math, physics, etc.).

Nice to have

• Hands‑on experience with ML workflows (dataset generation → training → evaluation).
• Exposure to distributed computing frameworks (Ray, Spark, Dask).
• Familiarity with containerization (Docker, Kubernetes).
• Experience with ML libraries like PyTorch, TensorFlow, XGBoost or CatBoost.
• Interest in algorithmic trading concepts.
• Personal projects that show you like to hack on things, automate stuff, or optimize pipelines.

What we can offer you

• Competitive benefits, including health insurance and 25 days of vacation.
• A modern office in Copenhagen (Nordhavn) with a flexible hybrid work model.
• A flat hierarchy with high levels of trust, autonomy, and freedom to make decisions.
• A valued role with unique responsibilities and plenty of room for creativity.
• Fast feedback and recognition of your contributions in a high‑growth company.
• Strong team spirit - successes are celebrated with company events and trips.