Data Scientist

The role

You will tune and optimize detection models and thresholds using live customer transaction data. You will investigate detection performance and present technical findings directly to customers to show business value.

What you will do

• Tune and optimize detection models and thresholds against live transaction data
• Investigate detection performance including missed cases, alert quality, and pattern drift
• Translate technical findings into customer-facing insight
• Present findings and defend methodology directly to customers
• Partner with regional Customer Value Partners on account strategy
• Feed patterns and findings back into broader model and product functions
• Own the regulatory defensibility of tuning decisions
• Validate model changes through backtesting, sample review, and sign-off discipline

Required qualifications

• 5-7 years as a data scientist in a customer-facing role
• Experience presenting analysis and defending model decisions directly to clients
• Experience in AML, fraud detection, or financial crime analytics
• Strong hands-on skills in Python, SQL, and ML tooling used in production
• Ability to translate model performance into business value for non-technical stakeholders

Nice to have

• Experience specifically in transaction monitoring or payments fraud detection at a bank, payment provider, or a vendor serving them
• Familiarity with explainable AI and rules-based hybrid detection approaches

About the company

Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. They offer a culture of mutual trust, support and passion.