Head of Data & AI

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Trade Nation is seeking an experienced and forward-thinking Head of Data AI to lead our data and artificial intelligence strategy across the organisation. Reporting to the Chief Operating Officer, this role combines two interconnected mandates: enabling self-service access to data across the business and embedding AI into everyday operations. As a multi-jurisdictional CFD and spread betting broker with regulated entities across the UK, Australia, the EU, the Bahamas and Seychelles, we are looking for a leader who can build on our existing data foundations, scale successful initiatives, simplify organically grown processes and drive measurable business impact through AI. The role is weighted approximately 60% towards AI and 40% towards Data , leading a team of Data Analysts while partnering closely with Data Engineering, Compliance and senior business stakeholders. Key Responsibilities Own and drive Trade Nation 's AI strategy from opportunity identification through to deployment, adoption and value realisation Redesign business workflows around AI, focusing on practical outcomes rather than tool adoption. Build AI capability through training, prompt libraries, templates and a network of AI champions. Measure and report AI adoption, success metrics and lessons learned. Own the business-facing gold layer of the data warehouse, including metrics, definitions and quality standards. Develop and extend the semantic data model to ensure consistent, trusted access to business data. Champion data self-service, empowering teams to answer their own questions efficiently. Establish and maintain best practices for analytics engineering, including testing, version control, documentation and code reviews. Simplify and improve the quality of the data estate. Deliver proactive insights and recommendations to senior leadership. Requirements Essential Experience Proven leadership experience within Data, Analytics or AI functions. Demonstrable success implementing AI solutions that have transformed business workflows and delivered measurable impact. Strong track record of delivering projects from concept through to production and adoption. Hands-on expertise in SQL, data modelling and analytics engineering. Experience with dbt or similar version-controlled transformation frameworks. Strong understanding of data warehouse architecture and semantic modelling. Experience working with Redshift, Snowflake, BigQuery or similar cloud data platforms. Background in financial services, trading, brokerage or capital markets. Experience leading, coaching and developing analytics teams. Excellent stakeholder management and communication skills with both technical and non-technical audiences. Desirable Experience Experience with CFD, spread betting or brokerage platforms. Knowledge of trading systems and back-office financial services data structures. Experience in multi-entity, multi-regulator environments. Exposure to regulatory reporting frameworks such as MiFID II, MiFIR or ASIC requirements. Experience implementing AI solutions within regulated financial services environments. Personal Attributes Curious about how businesses operate and eager to understand commercial processes before recommending solutions. Strategic thinker with a practical, delivery-focused mindset. Self-starter who proactively identifies opportunities and drives change. Comfortable challenging the status quo and being challenged in return. Passionate about enabling others through data and technology. Benefits Competitive salary, and discretionary annual bonus. Private healthcare. Active Lifestyle allowance. Annual leave above minimum entitlement. Up to 3 weeks allowance to work in any location. Originally posted on Himalayas

Trade Nation 正在寻找一位经验丰富且具有前瞻性思维的数据与人工智能负责人，以领导我们整个组织的数据和人工智能战略。该职位向首席运营官汇报，结合了两项相互关联的使命：实现业务范围内数据的自助式访问，以及将人工智能融入日常运营。作为一家多司法管辖区的差价合约和点差交易经纪商，我们在英国、澳大利亚、欧盟、巴哈马和塞舌尔均设有受监管实体，我们正在寻找一位能够在我们现有数据基础上进一步发展的领导者，能够扩展成功的举措、简化自然成长的流程，并通过人工智能推动可衡量的业务影响。该职位的权重约为60%偏向人工智能，40%偏向数据，领导一个数据分析师团队，同时与数据工程、合规和高级业务利益相关者密切合作。关键职责：拥有并推动Trade Nation的人工智能战略，从机会识别到部署、采用和价值实现。围绕人工智能重新设计业务工作流程，注重实际成果而非工具采用。通过培训、提示库、模板和人工智能倡导者网络来构建人工智能能力。衡量并报告人工智能采用情况、成功指标和经验教训。拥有数据仓库中面向业务的黄金层，包括指标、定义和质量标准。开发和扩展语义数据模型，以确保对业务数据的一致、可信访问。倡导数据自助服务，赋能团队高效地回答自己的问题。建立并维护分析工程的最佳实践，包括测试、版本控制、文档和代码审查。简化和提高数据资产的质量。向高级领导层提供主动洞察和建议。要求：必备经验：在数据、分析或人工智能职能方面具有经过验证的领导经验。在实施人工智能解决方案方面有可证明的成功记录，这些解决方案改变了业务工作流程并产生了可衡量的影响。在从概念到生产再到采用的項目交付方面有良好的业绩记录。在SQL、数据建模和分析工程方面具有实操专业知识。具有dbt或类似版本控制转换框架的经验。对数据仓库架构和语义建模有深入理解。具有使用Redshift、Snowflake、BigQuery或类似云数据平台的经验。具有金融服务、交易、经纪或资本市场背景。具有领导、辅导和发展分析团队的经验。出色的利益相关者管理和沟通能力，能够与技术性和非技术性受众沟通。理想经验：具有差价合约、点差交易或经纪平台的经验。了解交易系统和后台金融服务数据结构。具有多实体、多监管环境的经验。接触过MiFID II、MiFIR或ASIC要求等监管报告框架。具有在受监管金融服务环境中实施人工智能解决方案的经验。个人特质：对企业如何运营充满好奇，渴望在推荐解决方案之前了解商业流程。具有战略思维，同时具备务实、注重交付的心态。自我驱动，主动识别机会并推动变革。乐于挑战现状，也乐于接受他人的挑战。热衷于通过数据和技术赋能他人。福利：有竞争力的薪资和酌情年度奖金。私人医疗保健。积极生活方式津贴。年假高于最低法定标准。最多3周可在任何地点工作的津贴。原文发布于Himalayas

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