Paris, FR9h ago
About Marex
Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.
For more information visit https://www.marex.com/
In supporting the Firm in meeting its regulatory obligations, Compliance provides expert advice, oversight and thought leadership in relation to relevant rules and regulations. Compliance is responsible for overseeing the adherence to regulatory requirements and expectations through compliance policies, advisory activity, training, monitoring, surveillance and supporting the firm to implement regulatory change.
Central Operations is responsible for managing the group compliance plan, strategic projects, management information, change activities, compliance technology and infrastructure, regulatory permissions, costs and resources.
The AI Transformation Lead role supports the Head of Compliance Operations in driving the identification, development and implementation of AI-enabled solutions across the Compliance function, with a focus on improving regulatory oversight, strengthening risk management and delivering operational efficiencies.
The role will primarily focus on, and support, the following key areas which form part of the Compliance Operations Office:
• Identify existing processes to be enhanced with the implementation of AI-technologies
• Design and deliver solutions that improve control effectiveness, create procedural efficiencies and support evolving regulatory expectations
• Translate regulatory and operational requirements into scalable AI-enabled solutions and workflows
• Provide support across broader Compliance transformation and change initiatives as required
Responsibilities:
• Lead end-to-end delivery of AI initiatives within Compliance
• Identify and shape AI-enabled use cases and transformation opportunities
• Evaluate emerging AI technologies and assess applicability across Compliance use cases
• Identify AI-ready processes and automation opportunities
• Redesign Compliance workflows to incorporate AI-driven decision support and automation capabilities
• Monitor and evaluate AI model performance, including validation of outputs, identification of bias and detection of model drift or anomalies
• Coordinate testing, validation and adoption activities to ensure effective deployment of AI-enabled solutions
• Oversee implementation, deployment and post-production optimisation of AI-enabled solutions
• Support AI governance, model lifecycle management and compliance with internal control frameworks
• Engage senior stakeholders across Compliance and Technology to prioritise and deliver AI transformation initiatives
• Drive adoption of generative AI capabilities and intelligent automation across Compliance workflows
Skills & Experience:
• Recent hands-on experience delivering AI-enabled solutions in an enterprise environment
• Strong understanding of AI technologies, including generative AI, natural language processing, workflow automation and intelligent monitoring capabilities, identifying appropriate solutions per use case
• AI prompt engineering experience
• Strong analytical capability working with structured and unstructured data sets
• Understanding of AI governance, model risk management, explainability and evolving regulatory expectations relating to AI within financial services
• Minimum 5-8 years’ experience delivering transformation initiatives, including ‘hands-on’ delivery, through end-to-end lifecycle of delivery and transition to BAU
• Experience performing gap analysis and eliciting, capturing and defining business and functional requirements
• Experience in process modelling (BPMN or similar)
• Experience of dealing with various stakeholders (Front Office, IT, Finance, Risk, HR, 3rd Party suppliers, etc)
Desirable:
• Experience working in a regulatory/compliance environment
• Experience of working in both a brokerage/ trading firm as well as a large financial institution (investment bank, corporate bank, asset manager, etc.)
• Consultancy background
• Any industry project management (PMP / Prince2) and / or business analyst certifications (SEN)
Competencies:
• A collaborative team player, approachable, self-efficient and influences a positive work environment
• Demonstrates curiosity and attention to detail
• Resilient in a challenging, fast-paced environment
• Ability to take instruction and take responsibility for own delivery in a fast pace and high-volume environment
• Excels at building relationships, networking and influencing others
• Demonstrates curiosity and enthusiasm for emerging AI capabilities and their practical application within regulated environments
If you’re forging a career in this area and are looking for your next step, get in touch!
Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.
If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
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