About Us
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 part of Hawk’s Data Science & AI team, you will help design and build advanced machine learning and AI-driven solutions to detect and investigate financial crime. You will have a passion for data, modeling, and problem solving, and a drive to push the boundaries of AI applications in FinTech.
Your Responsibilities
Developing and improving AI/ML models to enhance detection of suspicious activities and reduce false positives.
Researching and implementing state-of-the-art techniques in data science, machine learning, and AI to fight financial crime.
Improving process efficiency, automation, and reproducibility across the Data Science team.
Building prototypes and proof-of-concepts to test novel AI-driven approaches and illustrate prospective capabilities to customers.
Analyzing complex financial datasets, identifying patterns, and presenting insights to the leadership team.
Collaborating with cross-functional teams (Engineering, Product, Solutions) to integrate models into customer and partner systems.
Documenting methodologies, experiments, and findings to support transparency and continuous improvement.
Requirements
Currently pursuing a BSc, BEng or MSc in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
Ideally, you have prior experience (internships, projects, or work) in AI/ML, Data Science, Banking/Financial Services, FinTech, or Consulting.
Strong knowledge of Python and libraries such as pandas, scikit-learn, PyTorch or TensorFlow.
Enthusiastic about AI applications in FinTech, passionate about solving critical problems, and curious with a continuous improvement mindset.
Strong analytical and problem-solving skills with experience in data wrangling, feature engineering, and model evaluation.
Fluent/native business-level English.
A self-starter who is equally comfortable working independently or collaboratively.
Available at least 10 hours per week, full-time possible.
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