Senior Customer Data Scientist - AML & Fraud Detection

AItoolnavio; Greater London; Híbrido; GBP 70.000 - 110.000; Jornada completa

Descripción de la vacante

Hawk is seeking a Customer Data Scientist in London to work directly with customers on AML and fraud detection models. Tune detectors, perform deep analyses, and present findings to risk and compliance stakeholders.

Translate complex results into actionable business value while balancing detection quality with false positives in production. You will collaborate with regional partners, own model defensibility, and ensure regulatory readiness while maintaining transparency with customers.

Formación

• 5-7 years as a data scientist in a customer-facing role.
• Real AML, fraud detection, or financial crime analytics experience.
• Strong hands-on skills in Python, SQL and production ML tooling.
• Ability to articulate model decisions to risk, compliance and data science stakeholders.
• Proven track record translating model performance into business value.
• Comfort with ambiguity and live production systems.
• Ownership mindset: spotting drift and driving fixes.

Responsabilidades

• Tune and optimize detection models and thresholds against live customer data.
• Investigate detection performance deeply: missed cases, alert quality, and drift.
• Translate technical findings into customer-facing insights for compliance teams.
• Present findings and defend methodology to customers’ risk teams in real time.
• Collaborate with regional Customer Value Partners on account strategy and value realization.
• Feed patterns back into model/product functions and ensure regulatory defensibility.
• Backtest, review samples, and sign off on changes before live deployment.

Conocimientos

AML experience

Customer-facing data science

Python

SQL

Explainable AI

Production ML tooling

Herramientas

Python tooling

SQL tooling

Descripción del empleo

Hawk is seeking a Customer Data Scientist in London to work directly with customers on AML and fraud detection models. Tune detectors, perform deep analyses, and present findings to risk and compliance stakeholders.

Translate complex results into actionable business value while balancing detection quality with false positives in production. You will collaborate with regional partners, own model defensibility, and ensure regulatory readiness while maintaining transparency with customers.