Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du ML-Modelle zur Betrugserkennung, analysierst Transaktionsdaten auf verdächtige Muster und übernimmst die gesamte Modell-Lebenszyklusverwaltung bis zur Produktion.
Job Technologien
Deine Rolle im Team
- We are looking for a hands-on Data Scientist who is passionate about applying machine learning to real-world financial crime problems.
- You enjoy working with complex transactional data, take ownership of models from idea to production, and care about building solutions that are not only accurate but also robust, explainable, and scalable.
- You are comfortable working in a fast-growing scale-up and collaborating closely with engineers and product teams.
- Develop and improve ML models for fraud detection.
- Work on automated rule discovery and optimization for fraud detection.
- Explore transactional and behavioral data to identify suspicious patterns.
- Own feature engineering, model training, validation, and monitoring.
- Take models from prototype to production.
- Communicate results clearly to technical and business stakeholders.
Unsere Erwartungen an dich
Ausbildung
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Qualifikationen
- Strong proficiency in Python and SQL.
- Deep understanding of classification and anomaly detection algorithms, with the ability to select, tune, and evaluate models using appropriate metrics and validation strategies.
- End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full model lifecycle.
- Familiarity with model explainability tools such as SHAP and model cards.
- Structured, self-directed working style and strong communication skills.
- Fluent in English; professional working proficiency in German, including client-facing technical discussions.
Erfahrung
- 2-3 years of hands-on experience in machine learning and applied data science, ideally in fraud detection, banking, or financial services.
- Experience with LLMs and agentic workflows.
Unser Angebot
- Attractive compensation.
- Flexible hybrid work model, allowing you to split your time between our office in Frankfurt and working from home.
- High ownership and real impact in a growing fintech.
- Flat structures and short paths from idea to action.
- A collaborative, international team culture.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
spotixx GmbH
Die spotixx GmbH, gegründet 2019, ist ein innovatives Unternehmen mit Sitz in Frankfurt am Main, das sich auf die Bekämpfung von Finanzkriminalität fokussiert. Sie bietet Softwarelösungen und Beratungsdienste für Finanzinstitute an, um Geldwäsche und Betrug zu bekämpfen. Mit einem Team von über 50 Mitarbeitenden ist spotixx ein wachsendes Startup im Finanzsektor.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Banken, Finanz, Versicherung
Data Scientist
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
