Rsk Manager AI & Data Analytics

Marsh McLennan; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global leader in risk strategy is seeking a talented individual to join their Risk Team in London. This hybrid role involves enhancing the use of data analytics and AI to improve risk management practices. Candidates should have practical experience in data analytics, AI governance frameworks, and the ability to work with varied stakeholders. The position promotes professional growth in a diverse and inclusive work environment, supporting teams to deliver high-quality risk management solutions.

Benefits

Professional development opportunities

Inclusive culture

Competitive benefits

Qualifications

• Practical experience in data analytics ideally in risk management.
• Proficient in LLMs/ChatGPT and effective prompt engineering.
• Understanding of AI risk governance frameworks and regulations.

Responsibilities

• Enhance Risk Functions use of data analytics and AI.
• Work with stakeholders to inform risk management.
• Identify trends using complex data sets.

Skills

Data Analytics

AI Risk Governance

Prompt Engineering

Communication Skills

Education

Risk Management AI or Data Analytics related qualifications

Tools

Adobe Analytics

Power BI

Tableau

SQL

Job description

Company : MMC Corporate

Description

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 Functions 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.

We will rely on you to

Responsibilities will vary from time to time but you will 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 MMCs instance of ChatGPT to improve the quality and efficiency of risk management activities for the first and second line developing practical solutions. This could cover identification assessment monitoring remediation and reporting on risks and controls.

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. This includes well‑articulated narratives on key risks updates on the status of risks controls and actions and ensuring the information is presentable such that it is suitable for a senior audience.

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 datadriven 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

Marsh McLennan (NYSE : MMC) is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background civil partnership status disability ethnic origin family duties gender orientation or expression gender reassignment marital status nationality parental status personal or social status political affiliation race religion and beliefs sex / gender sexual orientation or expression skin color or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments please contact us at

Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office‑based teams will identify at least one anchor day per week on which their full team will be together in person.

Required Experience

Manager

Key Skills

Adobe Analytics, Data Analytics, SQL, Attribution Modeling, Power BI, R, Regression Analysis, Data Visualization, Tableau, Data Mining, SAS, Analytics

Employment Type

Full‑Time

Experience

years

Vacancy

1