Impactful Software Engineer, Fraud Prevention (Fintech)

PSV; Kongens Lyngby; On-site; DKK 520,000 - 760,000; Full time

Benefits offered by this job

Real engineering role in fintech

Collaboration with founding team

Meaningful AI/finance/security work

Flexible, trust-based work culture in 

Job summary

SKJOLDET is a Danish fintech startup seeking a Software Developer to contribute to real features and learn from a hands-on team. You will help build systems that detect fraud before money is lost, collaborating with the CTO and colleagues from day one.

You will work on real-time data pipelines, frontend and backend components, and grow in a production environment tackling meaningful security and AI/ML challenges.

Qualifications

• Degree in software engineering or computer science or related field or equivalent experience.
• Familiarity with JavaScript or TypeScript and willingness to go deeper.
• Some backend development experience from jobs, studies, projects or internships.
• Comfortable learning new technologies and asking questions when stuck.
• Interest in AI/ML and how data solves real-world problems.
• Eagerness to grow in a startup where you take ownership.
• Experience in fintech, finance or regulated environments is a plus but not required.

Responsibilities

• Build and maintain features across backend and frontend systems.
• Work on real-time data pipelines processing fraud signals at scale.
• Collaborate with analysts and developers to turn data into prevention.

Skills

JavaScript

TypeScript

Backend development

AI/ML interest

Startup ownership mindset

Fintech experience

Degree in CS/Software Engineering

Learning mindset

Education

Degree in software engineering or CS or related field

Tools

Node.js

React

MongoDB

NoSQL

TypeScript

JavaScript

Job description

SKJOLDET is a Danish fintech startup seeking a Software Developer to contribute to real features and learn from a hands-on team. You will help build systems that detect fraud before money is lost, collaborating with the CTO and colleagues from day one.

You will work on real-time data pipelines, frontend and backend components, and grow in a production environment tackling meaningful security and AI/ML challenges.