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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.

Own the full customer lifecycle for enterprise software accounts, from scoping and implementation through value realization, adoption, renewal, and expansion. Build success plans, manage delivery, monitor performance, optimize customer outcomes, and drive GRR and NRR. Lead executive governance and QBRs, support pre-sales credibility, and use AI tools to improve account insight and reporting. The role requires strong enterprise SaaS delivery experience, commercial ownership, C-suite communication, and ideally AML, fraud prevention, or regulated financial services expertise.

Drive complex enterprise sales across EMEA, targeting Tier 1 banks, financial institutions, payment providers, and regulated organizations. Responsibilities include prospecting, strategic account planning, executive relationship building, consultative selling, pipeline generation, solution positioning, negotiations, contract execution, forecasting, and account expansion. The role requires collaboration with Pre-Sales, Product, Engineering, Marketing, and Customer Success teams while positioning AI-powered AML, fraud prevention, transaction monitoring, and workflow automation solutions.

Generate meetings and pipeline for enterprise SaaS by researching target accounts, conducting personalized outreach across email and social channels, running pre/post-event campaigns, attending events, and collaborating closely with Sales and Marketing to convert leads into qualified opportunities while maintaining CRM records.