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For Companies At a Glance
- Tasks: Lead projects on risk management, data analysis, and catastrophe modeling.
- Company: Join a dynamic team focused on enhancing returns while managing risks.
- Benefits: Enjoy opportunities for mentorship, collaboration with executives, and professional growth.
- Why this job: Make an impact by researching emerging risks and optimizing data processes in a supportive environment.
- Qualifications: 5+ years of experience, proficiency in R/Python, and strong communication skills required.
- Other info: Actuarial credentials are preferred but not mandatory; ideal for those passionate about risk management.
The predicted salary is between 43200 - 72000 £ per year.
Risk Management Team
Our mission is to enhance long-term returns while managing acceptable risk levels. This involves regular collaboration with senior management across corporate and business units. The team includes actuaries and modelers who identify, quantify, and report on various risks.
Role Overview
The candidate will engage in projects related to casualty accumulation, catastrophe modeling, and emerging risks. They will handle both quantitative and qualitative data and lead discussions with senior executives. An actuarial credential is preferred but not required.
Key Responsibilities
- Casualty Accumulation : Develop and optimize data processes, analyze and visualize accumulations, create catastrophe scenarios, and model reinsurance protections.
- Emerging Risk Monitoring : Research and quantify impacts of emerging risks like AI and climate change, and monitor other risks.
- Leadership Initiatives : Automate key processes, maintain risk assessment processes, contribute to reporting routines, and mentor junior team members.
Qualifications
- Required Skills : Proficiency in R/Python and Excel, strong communication skills, organizational and multitasking abilities, independent research skills, knowledge of casualty lines, and 5+ years of relevant experience.
- Bonus Skills : ACAS, STEM degree, and 10+ years of experience.
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ERM Analyst - Team Lead employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ERM Analyst - Team Lead
✨Tip Number 1
Familiarize yourself with the latest trends in casualty accumulation and catastrophe modeling. This will not only help you understand the role better but also allow you to engage in meaningful discussions with senior executives during the interview.
✨Tip Number 2
Brush up on your R/Python and Excel skills, as these are crucial for the role. Consider working on a small project or case study that showcases your ability to analyze and visualize data effectively.
✨Tip Number 3
Network with professionals in the risk management field, especially those who have experience with emerging risks like AI and climate change. This can provide you with insights and potentially valuable connections that could help you stand out.
✨Tip Number 4
Prepare to discuss your leadership experiences and how you've mentored junior team members in the past. Highlighting your ability to lead initiatives and automate processes will demonstrate your readiness for the Team Lead position.
We think you need these skills to ace ERM Analyst - Team Lead
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly understand the responsibilities and qualifications listed in the job description. Highlight your experience with casualty accumulation, catastrophe modeling, and emerging risks in your application.
Showcase Technical Skills: Make sure to emphasize your proficiency in R/Python and Excel. Provide specific examples of how you've used these tools in past projects, especially in relation to risk management and data analysis.
Highlight Leadership Experience: Since this role involves leading discussions and mentoring junior team members, include any relevant leadership experiences. Discuss how you've automated processes or contributed to team initiatives in previous roles.
Tailor Your Application: Customize your CV and cover letter to reflect the key skills and experiences that align with the job requirements. Use keywords from the job description to ensure your application stands out to hiring managers.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in R, Python, and Excel during the interview. Be prepared to discuss specific projects where you've utilized these tools to analyze data or model risks.
✨Demonstrate Leadership Experience
Since this role involves leading discussions and mentoring junior team members, share examples of your past leadership experiences. Discuss how you have successfully guided teams or automated processes in previous roles.
✨Discuss Emerging Risks Knowledge
Be ready to talk about your understanding of emerging risks such as AI and climate change. Prepare to discuss any research you've conducted or insights you've gained regarding their potential impacts on risk management.
✨Prepare for Senior Management Interaction
As the role requires collaboration with senior management, practice articulating your thoughts clearly and confidently. Think of scenarios where you've effectively communicated complex information to non-technical stakeholders.
