Chief AI Officer

The Chief AI Officer is the senior executive responsible for a newly created business within a trading company where you'll own P&L, commercial results and day-to-day leadership, and be accountable for operating within its licences and regulatory obligations.This is an AI leader first, with strong finance and brokerage knowledge. You will lead the next phase of the business, embedding AI, bots and automation across the business: setting the strategy, building the teams, managing vendors, and putting in place the KPIs and governance that turn AI into measurable business results. You will report to the Founder / Group CEO and must be able to explain complex technology in clear business terms and prove its value.Lead the AI directionDefine and own the AI and automation strategy and roadmap for the business, aligned with business goals.Lead end-to-end delivery of AI projects, from use-case identification and pilots through to production and adoption.Build, lead and develop high-performing teams (AI/ML engineers, data scientists, automation and bot developers, product and project managers).Manage vendors, technology partners and platform selection (build vs. buy), and drive AI adoption across the business.Define KPIs, business cases and ROI for AI initiatives, and oversee AI governance, risk, data security and regulatory compliance, including model risk, explainability and responsible AI.Identify where AI and automation can add value across trading, client services, risk, compliance, marketing and operations.Run the businessOwn the P&L, commercial targets, strategy and growth plan for business.Lead the heads of Trading, Risk, Operations, Product and Compliance within the business and ensure effective coordination across functions.Be accountable for operating within the scope of its licences, own its relationships with regulators, shareholders and banking partners, and promote a strong compliance and risk culture.Lead the response to material regulatory, operational or reputational incidents, and represent the business externally as required.Reporting line and authorityReports to the Founder / Group CEO.To the Board overseeing strategy, risk and performance, and to the Chief AI Officer who reports to it through the Founder / Group CEO.Operates within agreed authority limits. Budgets, headcount, capital and spending above the agreed limit require the written approval of the Founder / Group CEOKey Performance IndicatorsCommercial: Company P&L, revenue growth and client activity against the annual plan.Regulatory: zero material regulatory breaches, with any findings remediated on time.Cost: operating costs and headcount within approved budget.AI return on investment: measurable cost savings, revenue or risk reduction from AI initiatives against their approved business cases.Targets are agreed annually with the Founder / Group CEO.Qualifications15+ years of professional experience, including senior leadership (General Manager, CEO, COO or equivalent) with P&L ownership.Proven hands-on experience leading AI, automation and bot projects from concept to production.Strong finance and brokerage knowledge: trading, pricing, execution and risk, and platforms such as MT4/MT5 or equivalents, in a financial services or fintech environment.Track record of leading multidisciplinary teams, both business (Trading, Risk, Compliance, Operations, Product) and technical (AI/ML, data science, automation andbot development).Bachelor’s degree in Business, Finance, Economics, Computer Science, Engineering, Data Science or a related field; a Master’s degree or MBA is preferred.Experience operating in a regulated environment, including regulator-facing accountability, is a strong advantage.Required Skills & ExperienceDeep understanding of the AI development lifecycle: data preparation, training, validation, deployment, monitoring and retraining.Hands-on knowledge of generative AI and large language models, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, evaluation and guardrails.Experience with agentic AI: multi-step agents, tool use, orchestration frameworks and human-in-the-loop controls.Experience delivering intelligent automation (RPA, workflow automation, API integration, conversational bots) and integrating AI with CRM, trading platforms, back-office, KYC/AML and reporting tools.Understanding of trading infrastructure: order management and execution, liquidity, pricing, risk engines and MT4/MT5 or equivalents.Awareness of AI applications in finance: trade surveillance, market-abuse and fraud detection, client behaviour analytics, risk scoring, algorithmic trading support and compliance automation.Experience tracking KPIs and OKRs across a portfolio of AI initiatives, including budgets, milestones and benefits realisation.Core CompetenciesTechnical depth: credible with engineers and data scientists, able to challenge architecture and approach.Business acumen and value demonstration: links AI to revenue growth, cost savings, risk reduction and client experience; builds business cases and communicates results convincingly to executives.Leadership: inspires, hires and develops talent, aligns department heads around sharedpriorities, and builds a culture of innovation and accountability.Stakeholder management: influences C-level executives, business heads and external partners; confident representing the business to regulators and shareholders.Governance mindset: balances innovation and commercial ambition with security, compliance and ethical AI use.Execution: delivers in a fast-moving environment, prioritises effectively, and communicates clearly and decisively under regulatory or market-event pressure.