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- Tasks: Design and maintain GenAI infrastructure, supporting innovative AI applications.
- Company: Marex Group is a global financial services platform with a focus on energy and commodities.
- Benefits: Enjoy a supportive graduate programme, continuous training, and networking opportunities.
- Why this job: Shape the future of AI in finance while working with cutting-edge technology and diverse teams.
- Qualifications: Masters or PhD in a data-intensive field; strong analytical and problem-solving skills required.
- Other info: Marex values diversity and inclusivity, welcoming all applicants.
The predicted salary is between 28800 - 43200 £ per year.
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.
Embark on a transformative journey with Marex’s Full-Time Graduate Programme – an experience tailored to empower and support Analysts. Dive into the ‘Backpack to Briefcase’ bootcamp, unveiling the intricacies of financial services, Marex’s purpose, and strategic priorities. Join your team post-bootcamp, fostering connections through continuous training. Learn, grow, and expand your network through a diverse array of sessions fast-tracking your understanding of Marex and the industry.
The Technology Department delivers differentiation, scalability, and security for the business. Reporting to the COO, Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile ‘streams’ aligned to specific business areas.
Marex now seeks to strengthen its capabilities further and elevate the role of data in the operating models of Marex’s businesses, directed by a strategy that aims to:
- Decentralise access for discovering and consuming data.
- Provide a market-beating digital experience for clients by providing greater insight into their own data.
- Build communities of practice around data management.
- Ensure that the capabilities and tools of the Data Intelligence team infuse with the goals and operating models of each business within the firm.
As a Generative AI Engineer within the AI Engineering team, this role offers you a unique opportunity to shape the future of AI applications in Marex. You will gain exposure across a range of specialisms, working on cutting-edge solutions, building robust infrastructure and supporting enterprise-wide AI initiatives.
Responsibilities:
- Design, develop, and maintain our GenAI infrastructure, creating a foundation that enables all Marex team members to leverage GenAI solutions effectively.
- Support of production GenAI applications, including our flagship Marex Knowledge Base, an advanced in-house question-answering engine.
- Establish best practices and standards for GenAI development within the organisation, helping teams adopt and implement GenAI solutions.
Skills and Experience:
- Essential: Strong analytical and critical thinking abilities with exceptional problem-solving skills.
- Technical Skills: Experience with data manipulation and analysis using tools like Pandas and NumPy.
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.
Graduate Trainee: Generative AI Engineering employer: Marex Group
Contact Detail:
Marex Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Trainee: Generative AI Engineering
✨Tip Number 1
Familiarise yourself with Marex's core services and recent developments in the financial markets. Understanding their operations will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in the company.
✨Tip Number 2
Network with current employees or alumni who have experience in AI engineering or financial services. They can provide valuable insights into the company culture and expectations, which can be beneficial for your application and interviews.
✨Tip Number 3
Stay updated on the latest trends in generative AI and machine learning. Being knowledgeable about current technologies and methodologies will not only enhance your understanding but also allow you to discuss relevant topics confidently during interviews.
✨Tip Number 4
Participate in workshops or online courses related to AI and data analysis tools like Pandas and NumPy. Gaining practical experience will strengthen your skill set and show your commitment to continuous learning, making you a more attractive candidate.
We think you need these skills to ace Graduate Trainee: Generative AI Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Generative AI Engineering role. Emphasise your analytical thinking, problem-solving abilities, and any experience with machine learning concepts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background fits with Marex's goals. Mention specific projects or experiences that demonstrate your technical skills and adaptability in the field.
Showcase Relevant Projects: If you have worked on any projects related to AI or machine learning, include them in your application. Highlight your contributions, the technologies used, and the outcomes achieved to demonstrate your hands-on experience.
Highlight Continuous Learning: Mention any courses, certifications, or workshops you've completed that are relevant to AI and data analysis. This shows your commitment to staying updated in a rapidly evolving field and your willingness to learn new tools and methodologies.
How to prepare for a job interview at Marex Group
✨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of a Generative AI Engineer. Familiarise yourself with Marex's AI initiatives and how they integrate with their data strategy. This will help you articulate how your skills align with their needs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data manipulation tools like Pandas and NumPy, as well as any knowledge of cloud platforms such as AWS or Azure. Highlight any projects or contributions to open-source that demonstrate your technical capabilities in AI and machine learning.
✨Demonstrate Problem-Solving Abilities
Marex values strong analytical and critical thinking skills. Be ready to share examples of complex problems you've solved in the past, particularly those related to AI or data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
Prepare thoughtful questions about Marex's approach to AI and data management. Inquire about the challenges they face in implementing GenAI solutions and how you can contribute to overcoming them. This shows your genuine interest in the role and the company.
