* Provide key subject matter expertise within financial crime and compliance.
* Engage with NICE Actimize's prospects and clients to understand technical and functional requirements, from both current and aspirational perspectives.
* Position solutions for specific prospect requirements, and articulate how value and business benefits can be achieved.
* Explain features and benefits of the NICE Actimize solutions in comparison to competitive products.
* Deliver product presentations to technical and management personnel, and bring Actimize's differentiation to life through the medium of a demo.
* Develop relationships with prospects and customers.
* Communicate with sales and product management regarding customer needs.
* Lead Proof of Concept engagements, working with the client, sales, and technical presales.
* Completing RFI/RFPs; identifying client requirements and ensuring proactive communications with customers to ensure customer satisfaction.
* Participate in trade shows, seminars and other industry events. Experience in a client facing role within the financial services, financial software or enterprise software industries and/or a relevant degree and level of technical aptitude.
* Ideally, an understanding of the financial crime landscape.
* Excellent verbal, written, and interpersonal communication skills.
* Proven ability to quickly and deeply learn new technologies and clearly communicate their value proposition.
* A curious mind - You'll need to solve problems to drive business success and revenue.
* Consultative and confident, with an ability to thrive in a fast paced, dynamic environment.
* Experience in gathering requirements, documenting business needs and presenting solutions to a senior audience.
* Must be willing to travel to customer sites 40%+.
Benefits
* Detailed knowledge of fraud, financial crimes and compliance industry.
* Full training & enablement on our Actimize financial crime products.
* Good insight into business value and business case driven solutions.
* Confidence in AI (NLP, Analytics & Decisioning, Automation, Machine Learning, etc).
* Good understanding of statistical data modelling concepts.
* Experience in enterprise-wide case management.
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