About the role
Introduction Function: Pre-sales Travel: Up to 30% for customer engagements at bank sites Reports to: Head of Pre-sales EMEA About SymphonyAI Financial Services SymphonyAI Financial Services is the global leader in AI-powered financial crime prevention. We provide SymphonyAI solutions, combining AI and non-AI software, to help over 220 banks, insurers, and financial firms prevent money laundering, fraud, sanctions breaches. Our systems sit between criminals and the financial system and are closely monitored by top regulators around the world.
About
the role We are looking for a Senior AI Solutions Consultant to join our Pre-Sales team in London and drive the technical side of our sales engagements with prospective clients. This is a client-facing role that sits at the intersection of applied AI, financial crime domain expertise, and enterprise sales. You will spend part of your time in front of prospects — running demos, executing proofs of concept on their data, and translating their financial crime detection challenges into tailored solutions built on the SymphonyAI platform. You will need the technical depth to credibly engage with data science teams, configure and tune machine learning models against client data, and shape proposals that win competitive deals. Job Description What you will do Pre-Sales engagement (around 40% of your time) Lead the technical workstream of sales opportunities, partnering closely with Account Executives to develop and present compelling technical proposals. Design and deliver customised product demonstrations that map SymphonyAI's capabilities to each prospect's financial crime detection priorities. Build relationships with technical stakeholders at client organisations, including AML and fraud heads, data science leads, and compliance technology teams. Proof of Concept and Proof of Value execution (around 30% of your time) Scope, plan and execute POCs and POVs on prospect data, defining success criteria, managing risks, and working alongside the prospect's users to build the business case. Configure, tune and apply machine learning models — drawing on SymphonyAI's own algorithms and selected third-party libraries — against client transaction, customer, and behavioural data to demonstrate detection performance. Analyse complex, messy, regulated data sets to identify suspicious patterns and typologies, and translate the findings into clear business outcomes for the prospect. Product and domain feedback (around 10% of your time) Partner with Product Management to translate field observations and customer
