Senior/Data and AI Risk Manager

Senior/Data and AI Risk Manager

Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Enhance risk management using data, analytics, and AI while collaborating with diverse teams.
  • Company: Join Marsh McLennan, a global leader in risk and strategy with a vibrant culture.
  • Benefits: Enjoy professional development, flexible working, and a supportive environment.
  • Why this job: Make a real impact by driving innovative risk solutions in a dynamic team.
  • Qualifications: Experience in data analytics and understanding of AI risk governance is a plus.
  • Other info: Opportunity for career growth in a diverse and inclusive workplace.

The predicted salary is between 60000 - 84000 £ per year.

We are seeking a talented individual to join our Risk Team in Marsh McLennan. This role will be based in our London office. This is a hybrid role that has a requirement of working at least three days a week in the office.

You will play an active role in enhancing the Risk Function's use of data, analytics and AI in the identification and assessment of key risks, thereby championing a data-led approach to risk management. This will involve working with the team as well as senior functional and business stakeholders to help identify and utilise a breadth of data sources.

This is a great opportunity to join:

  • A truly global organisation that can offer learning and ongoing career development opportunities.
  • A highly skilled Risk team that partners with the business to balance achieving its growth ambitions whilst managing risks.
  • A Risk Function that strives to continuously improve and innovate and learn from each other.

You will support a number of enhancement activities, working closely with the Deputy Chief Risk Officer and the wider team. The role will therefore come with plenty of variety and opportunity to learn as well as share your own industry experience. Flexible working based in the London office and occasional UK travel may be required.

We will rely on you to:

  • Work closely with the Deputy Chief Risk Officer, and the wider Risk team, to deliver and help enhance the Enterprise Risk Management framework and associated processes.
  • Identify opportunities for improving the use of data within the Risk Function, to provide insights on areas of concern, incidents, increased risk exposure and instances where process and controls require improvement.
  • Utilise AI, including MMC's instance of ChatGPT, to improve the quality and efficiency of risk management activities for the first and second line, developing practical solutions.
  • Provide a Risk Function view on AI Risk Governance, including in response to evolving regulatory expectations and industry developments in this space (e.g., taking into account NIST AI RMF, EU AI Act, GDPR).
  • Share your own insights on the key risks facing Marsh McLennan in the UK, taking into account your insights from meetings with the business.
  • Lead RCSA (Risk & Control Self Assessment) meetings and other (ad-hoc) engagements with the business and/or functions and take an active role in ensuring the risk registers have been updated with quality information on the risks, controls and actions.
  • Produce high quality, targeted risk reporting for Committees and Executives, including well-articulated narratives on key risks, updates on the status of risks, controls and actions.
  • Support on various Risk Management deep dives/projects, e.g. M&A, control enhancements, and other strategic opportunities as may arise.
  • Promote upskilling in analytics and AI across the Risk team and the business through targeted training, practical playbooks and joint working sessions with data and legal teams.
  • Support the wider Marsh McLennan Risk agenda as needed by working closely with Compliance and other colleagues in the UK and globally.

What you need to have:

  • Practical experience in data analytics (ideally in a risk management related environment, but this is not necessary).
  • Ability to analyse complex data sets to identify trends.
  • Proficient in the practical use of LLMs/ChatGPT, including effective prompt engineering, to improve processes and quality.
  • Understanding of AI risk governance frameworks and relevant evolving regulations (e.g., NIST AI RMF, EU AI Act, GDPR).
  • Ability to work effectively with a range of stakeholders, with sufficient experience to drive engagement and competency in utilising AI and data analytics in risk management.

What makes you stand out:

  • Risk Management, AI or Data Analytics related qualifications.
  • Experience using data and analytics to inform risk decisions (e.g., build or oversee predictive models, design KRIs/early warning indicators, or data-driven thematic reviews).
  • Experience in the insurance or insurance broking industry and/or Investment management industry.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Senior/Data and AI Risk Manager employer: Marsh & McLennan Companies, Inc.

At Marsh McLennan, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters professional growth and collaboration. Our London office provides a dynamic environment where you can engage with talented colleagues while benefiting from flexible hybrid working arrangements and extensive career development opportunities. Join us to make a meaningful impact in risk management, leveraging data and AI to drive innovation and enhance our global operations.
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Contact Detail:

Marsh & McLennan Companies, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior/Data and AI Risk Manager

✨Tip Number 1

Network like a pro! Reach out to current employees at Mercer or in the risk management field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for interviews by brushing up on your data analytics skills and AI knowledge. Be ready to discuss how you've used these in past roles. Show them you're not just a fit on paper but also in practice!

✨Tip Number 3

Don’t forget to showcase your soft skills! Being able to engage with stakeholders and communicate complex ideas clearly is key in this role. Practice articulating your thoughts in a way that’s easy to understand.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Mercer. Let’s get you that job!

We think you need these skills to ace Senior/Data and AI Risk Manager

Data Analytics
AI Risk Governance
Prompt Engineering
Stakeholder Engagement
Risk Management
Predictive Modelling
Key Risk Indicators (KRIs)
Regulatory Compliance (NIST AI RMF, EU AI Act, GDPR)
Risk & Control Self Assessment (RCSA)
Data-Driven Decision Making
Communication Skills
Project Management
Training and Upskilling in Analytics and AI

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior/Data and AI Risk Manager role. Highlight your experience with data analytics, AI, and risk management. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention any relevant projects or experiences that showcase your expertise.

Showcase Your Data Skills: Since this role involves a lot of data and AI, be sure to highlight any practical experience you have in these areas. Whether it's using LLMs or analysing complex datasets, we want to know how you've used these skills in real-world scenarios.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Marsh & McLennan Companies, Inc.

✨Know Your Data

Make sure you brush up on your data analytics skills. Be prepared to discuss how you've used data to identify trends and inform risk decisions in the past. This role is all about enhancing the Risk Function's use of data, so showing your practical experience will definitely impress.

✨Familiarise Yourself with AI Governance

Since this position involves AI risk governance, it’s crucial to understand frameworks like NIST AI RMF and the EU AI Act. Do some research on these regulations and be ready to share your insights on how they impact risk management. This shows you're proactive and knowledgeable about the evolving landscape.

✨Engage with Stakeholders

This role requires working closely with various stakeholders, so practice articulating your thoughts clearly. Think of examples where you've successfully engaged with different teams or senior management. Highlighting your communication skills will demonstrate that you can drive engagement effectively.

✨Prepare for RCSA Discussions

Since you'll be leading Risk & Control Self Assessment meetings, it’s a good idea to prepare by reviewing what makes a successful RCSA. Familiarise yourself with common pitfalls and best practices. Being able to discuss this confidently will show that you’re ready to take on the responsibilities of the role.

Senior/Data and AI Risk Manager
Marsh & McLennan Companies, Inc.
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