Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world.
Your Mission
As a Data Scientist at Hawk, you’ll play a key role in enhancing our AI-driven Anti-Financial Crime platform, specifically targeting the detection of money laundering and fraud. You will leverage cutting-edge machine learning models and anomaly detection techniques to develop scalable solutions that make a tangible difference in preventing financial crime. Working hands-on with data, you’ll ensure that our platform remains at the forefront of fraud prevention and compliance, contributing to a safer financial ecosystem.
Your Responsibilities
- Design, build, and deploy machine learning models for detecting money laundering and fraud.
- Analyze large datasets to uncover trends, anomalies, and actionable insights.
- Implement scalable data pipelines for model training and deployment.
- Stay up to date on AI and ML innovations to continuously improve platform performance.
- Collaborate with cross-functional teams to develop data-driven strategies.
Your Profile
- Ideally 3+ years of experience as a Data Scientist, though strong entry-level candidates are welcome.
- Experience with deep learning (TensorFlow, PyTorch) and tree-based models (e.g., XGBoost).
- Expertise in anomaly detection techniques and familiarity with NLP models (e.g., transformers) is a plus.
- Proficiency in Python and machine learning libraries.
- Strong communication skills and a passion for solving data-driven challenges.
- MSc or PhD in Computer Science, Mathematics, Statistics, or related field.
- Competitive salary
- Personal development budget up to €1,000/year. (e.g., online courses, coaching, German classes, certifications)
- Gym membership subsidy
- 27 paid holidays annually + 1 day per each additional full year of remaining in the company, up to a maximum number of 30 days of holidays per year
- 4 weeks “working from anywhere” per year in selected countries
- MVG monthly commuting ticket subsidy (public transportation)
- Flexible working hours and home office possibilities
- Healthy drinks, snacks, and a weekly fruit basket in the office
Why Us
- the “World’s Top 100 AI Fintechs” and “Top EU Startups to Watch.”
- You will be at the center of a fast-growing, high-tech startup using the latest Cloud technology, AI (Artificial Intelligence), and machine learning.
- You will be part of an incredibly diverse and international team of 20+ nationalities across offices in Europe, the USA, and beyond.
- You will have a high degree of collaboration, ownership, and autonomy. Your work matters!
- Your work will drive innovation and positively impact our society globally. We fight financial crime and aim to prevent 1.6 trillion USD from being money-laundered worldwide annually.
- Our modern tech stack includes Kafka, Elasticsearch, AWS, MongoDB, Kubernetes, ArgoCD, Java 11, Spring, Python, React, and others.
Top Skills
What We Do
Award-winning AML & CFT technology powered by explainable AI increases your risk coverage, helps you identify more crime, and reduces your false positives. Combine AML transaction monitoring, payment screening, and pKYC in one tool & add fraud detection for even more comprehensive coverage.
