Senior AI Solutions Consultant – Financial Crime

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 requirements into product improvements, communicating in both business and technical terms.
• Stay current on SymphonyAI's roadmap, new releases, and the broader financial crime regulatory landscape.
  Continuous learning and enablement (around 20% of your time)
• Maintain deep expertise across SymphonyAI's products, the financial crime domain, and adjacent AI and cloud technologies.
• Support internal enablement of the wider sales and pre-sales teams on technical positioning and competitive differentiation.

Continuous learning and enablement (around 20% of your time)

• Maintain deep expertise across SymphonyAI's products, the financial crime domain, and adjacent AI and cloud technologies.
• Support internal enablement of the wider sales and pre-sales teams on technical positioning and competitive differentiation.

What we are looking for

Mandatory

• Minimum 8 to 12 years of experience in pre-sales, solutions consulting, technical consulting, or a closely related client-facing technical role.
• Excellent presentation, communication, and stakeholder management skills, with the credibility to engage senior business and technical buyers.
• Hands-on experience applying machine learning to real-world business problems, including model selection, configuration, tuning and evaluation.
• Strong Python and SQL skills, with the ability to work confidently in notebooks and against large data sets during POC and POV engagements.
• Comfort working with large data sets — including the data wrangling, mapping and conformity work typically required to get bank data into a usable state for analysis.

Desirable

• Track record of supporting and closing complex, enterprise software deals with financial services clients.
• Experience in financial crime — AML, transaction monitoring, sanctions, fraud, or KYC. Strong candidates from adjacent regulated domains will also be considered, provided they can demonstrate the ability to ramp quickly.
• Understanding of model governance, validation and regulatory expectations in a financial crime setting (for example, OCC 2011-12, SR 11-7, EBA model risk guidance).
• Familiarity with AI agents, generative AI, and how these are being applied to operational efficiency in financial services.

About Us:

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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