At a Glance
- Tasks: Enhance risk management using data analytics and AI while collaborating with diverse stakeholders.
- Company: Global risk management firm based in London with a focus on innovation.
- Benefits: Hybrid work model, professional growth opportunities, and a diverse workplace culture.
- Why this job: Join a dynamic team to make a real impact in risk management through cutting-edge technology.
- Qualifications: Skills in data analytics, LLMs/ChatGPT, and risk governance frameworks are essential.
- Other info: Exciting career development opportunities in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A global risk management firm in London seeks a talented individual to join their Risk Team. This hybrid role involves enhancing risk management through data analytics and AI, with responsibilities including improving the Enterprise Risk Management framework and collaborating with various stakeholders.
Ideal candidates will possess skills in data analytics, LLMs/ChatGPT, and risk governance frameworks. Opportunities for professional growth and a diverse workplace culture are offered.
Data & AI Risk Lead — Analytics & Governance employer: Marsh & McLennan Companies, Inc.
Contact Detail:
Marsh & McLennan Companies, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Risk Lead — Analytics & Governance
✨Tip Number 1
Network like a pro! Reach out to professionals in the risk management and data analytics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI and data analytics. Be ready to discuss how you can enhance risk management frameworks using these skills. We recommend practising common interview questions related to risk governance.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on relevant data analytics projects, create a portfolio that highlights your achievements. This will give you an edge when discussing your experience with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data & AI Risk Lead — Analytics & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and risk governance frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk management and how your background in AI and data analytics makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role involves working with LLMs and ChatGPT, make sure to mention any relevant technical skills or projects. We love seeing candidates who can demonstrate their expertise in these areas, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Marsh & McLennan Companies, Inc.
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills and be ready to discuss how you've used them in past roles. Be prepared to share specific examples of how you've enhanced risk management through data-driven decisions.
✨Familiarise Yourself with AI Tools
Since the role involves AI, especially LLMs and ChatGPT, it’s crucial to understand these technologies. Think about how you can leverage AI in risk governance and be ready to discuss any relevant projects or experiences.
✨Understand Risk Governance Frameworks
Dive deep into risk governance frameworks and be prepared to explain how they apply to the role. Show that you can not only improve existing frameworks but also collaborate effectively with stakeholders to implement changes.
✨Showcase Your Collaborative Spirit
This role requires working with various stakeholders, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated in the past, particularly in enhancing risk management processes.