About This Role
This role involves transforming customer requirements into functional solutions that help achieve business objectives in transaction monitoring, customer screening, and fraud detection, using cutting-edge AI technologies. The specialist supports customers from contract signing through to go-live, ensuring that key project timelines and milestones are met.
Responsibilities
- Gather and analyse the customer's AML, fraud, and screening requirements and advise on best-practice configuration
- Translate policies, screening algorithms, regulatory requirements, and risk factors into Hawk's setup, covering rules, screening, customer risk rating, and workflows
- Lead the technical deployment and integration with the customer's systems, via API or batch mechanisms
- Support the customer through testing, UAT, and sign-off, troubleshoot issues, and support a successful transition to a production environment
- Deliver training to the customer's teams from both a functional and technical standpoint
- Plan and run the implementation from signature to go-live on time and within scope, with documentation and regular stakeholder updates, combining hands-on work with project leadership
- Be the first point of contact for implementation questions and issues
- Work closely with Customer Value Partners for a smooth implementation, and bring actionable customer feedback and gaps to Product, Development, and Hawk's GTM organisation
- Document every configuration decision and the reasoning behind it, so the setup holds up when the customer's auditor or regulator asks why a rule was set the way it was
- Manage each implementation task and the implementation success as an outcome you own, as directed by our Customer Value Partner, resulting in activity completion and a go-live on the dates you committed to
Requirements
- 6+ years in implementation consulting or solution consulting, with at least 3 of those years hands-on implementing AML, fraud, or screening solutions
- Subject matter expertise in AML and compliance, familiar with key typologies and patterns, regulatory expectations, and how monitoring programmes as well as AI get examined
- Ability to confidently discuss and defend a rule set with an MLRO
- Hands-on data skills: SQL, APIs, CSV and JSON, and data modelling
- Familiarity with standardised payment message formats, including SWIFT MT and ISO 20022, SEPA, and card data
- Integration literacy with APIs, JSON payloads, SFTP configurations, and SSO
- Proven track record of taking complex implementations to go-live on time, ideally several in parallel, with banking customers or other financial institutions
- Stakeholder alignment skills to ensure internal and external parties have the information they need, keep them aligned, and manage expectations
