Teams at Hawk

Customer Data Scientist responsible for tuning AML and fraud detection models using live transaction data. Investigates detection performance, missed cases, alert quality, and pattern drift; validates changes through backtesting and sample review; and presents findings to customer risk, compliance, and data science stakeholders. The role requires translating model performance into business value, documenting regulatory defensibility, partnering on account strategy, and feeding customer insights into product and model improvements.

Supports B2B sales by translating complex AML and fraud technology into tailored solutions, demonstrations, business cases, proposals, and proof-of-concept implementations. Partners with sales, engineering, compliance, data, marketing, and product teams to understand banking clients’ needs, assess risks, manage RFPs, coordinate POCs, build stakeholder relationships, and provide market input for product roadmaps.

Lead customer implementations of AML, fraud detection, and screening solutions from contract through go-live. Responsibilities include requirements analysis, configuration, data mapping, API and batch integration, testing, UAT, training, documentation, stakeholder management, and project delivery. The role requires hands-on AML and compliance expertise, SQL and integration literacy, familiarity with payment data standards, and the ability to defend configuration decisions to compliance leaders, auditors, and regulators.