Asst Dir-Risk Management

Moody's Investors Service; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global leader in risk assessment is seeking an experienced project lead to drive team culture and project success. The ideal candidate will have over 5 years in (re)insurance, strong communication skills, and an interest in AI technologies. Responsibilities include leading project work, collaborating with stakeholders, and ensuring quality results. Join us to help innovate and manage risk effectively in a rapidly evolving market.

Responsibilities

• Lead project work that contributes to team targets.
• Collaborate with project manager and experts to ensure project scope.
• Define and implement new methodologies for complex projects.
• Ensure quality and accuracy of results delivered.
• Build team capacity through teaching and coaching.
• Support sales efforts through collaboration.
• Drive conversations with key client stakeholders.

Skills

5+ years of experience in (re)insurance or alternative risk transfer

Experience with Moody's RMS or competitor catastrophe models

Coding skills (e.g., SQL, R, Python)

Ability to learn new technologies quickly

Strong communication and presentation skills

Proactive and accountable

Strong teamwork skills

Problem solving skills

Basic understanding of AI concepts

Interest in exploring AI systems

Education

Earth / climate sciences

Mathematics, statistics, physics, engineering, data science

Risk management / insurance, actuarial science

Job description

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are -- with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• 5+ years of experience working within the (re)insurance or alternative risk transfer space
• Experience running Moody's RMS or competitor catastrophe models
• Previous experience with coding (e.g. SQL, R, Python) and working with large datasets required
• Ability to learn and adapt to new technologies quickly
• Strong communication and presentation skills, including the ability to tailor the communication to different levels of seniority
• Proactive and demonstrates a high level of personal accountability
• Strong teamwork skills and collaborative attitude
• Problem solving skills and attention to detail
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Earth / climate sciences
• Mathematics, statistics, physics, engineering, data science, computer science
• Risk management/ insurance, actuarial science

Responsbilities

As a project lead you will help to drive a team culture where people want to stay and grow their careers. You will have the flexibility to work across any project topic from the range that the team work on, a passion for innovation and discovering new use cases for catastrophe analytics and be able to drive a project to success with the support of senior oversight.

• Lead project work that helps contribute towards our team targets and/ or strategic priorities of the group
• Work in collaboration with project manager, domain experts and client relationship manager to ensure project is delivered within scope, effort estimates and agreed timelines
• Work with domain experts (from potentially across multiple teams) to define and implement new methodologies for new and complex projects, and establish best practices across the team
• Be responsible for the accuracy and quality of results delivered, ensuring thorough and efficient QA practices have been implemented
• Hold project team accountable to deliver the high levels of standards that we expect from work
• Build team capacity through exceptional teaching and coaching of the associate team
• Work collaboratively across all required teams to support sales efforts through pre‑sales, scoping and contracting or origination
• Build relationships and drive conversations with key client stakeholders/ brokers, and more senior stakeholders within Moody's

About the Team

The Insurance Advisory Team operates at the forefront of defining best practices for the quantification and management of risk. Demand for climate and catastrophe risk analytics and data is growing at pace, including beyond the insurance market into financial services, governments, and corporate use cases. By joining our team, you will have an opportunity to drive the growth of a unique and fascinating market, and help build resilience to the challenges society faces today.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.