Assist in mapping, documenting, and analysing financial workflows (e.g., account onboarding, trade execution, reporting).
Support senior engineers in implementing improvements to reduce inefficiencies and errors.
Contribute to automation initiatives by building scripts, bots, or workflow tools.
Write basic scripts (e.g., Python, SQL, JavaScript) to clean, transform, and automate data processing.
Support integration of APIs and automation tools
Help build monitoring dashboards and alerts for critical process pipelines.
Work with data engineers and analysts to understand and maintain data pipelines feeding business-critical processes.
Support experiments with AI/ML models for process automation (e.g., customer support chatbots, fraud detection, anomaly monitoring).
Document and test pipeline improvements to ensure reliability and accuracy.
Work closely with product, operations, and compliance teams to understand requirements and deliver process improvements.
Learn fintech-specific regulatory requirements (AML/KYC, GDPR, MiFID II) and how they shape operational workflows.
Participate in cross-team projects, contributing with data, automation, and testing support.

Basic programming skills (Python, SQL, or similar).
Interest in data engineering concepts (ETL pipelines, APIs, cloud data platforms).
Familiarity with AI/ML tools.
Strong analytical and problem-solving mindset.
Excellent communication and interpersonal skills.
Curiosity about fintech, financial markets, and automation.
Ability to document processes clearly and work in a structured way.

Opportunities to tackle challenging projects and realize your potential
Work with a team of smart, spirited, and helpful high-performers
A flexible culture that values and appreciates talent and new ideas
Generous remuneration package with annual bonuses
Excellent social benefits package, including private health insurance and 25 days of paid vacation per year
Delicious treats and a spacious game room for team enjoyment

Process Engineer

Key skills