Assistant Manager-Catastrophe Model-2+Years-Remote
We are looking for an Assistant Manager with 2+ years of experience in Catastrophe Modelling , worked on tools like RMS, AIR.
Your Future Employer
You will be working with a leading organization in the insurance industry, committed to diversity, equality, and inclusion.
Responsibilities
- Conducting data modelling and analysis for catastrophe events
- Collaborating with cross-functional teams to develop and enhance catastrophe models
- Presenting model outcomes and findings to senior management
- Contributing to the development of best practices and processes in catastrophe modelling
Requirements
- 2+ years of experience in catastrophe modelling
- Strong skills in data modelling and analysis
- Degree in Mathematics, Statistics, Actuarial Science, or related field
- Proficiency in relevant software and programming languages (e.g. RMS, SQL, Python)
What's in it for you
- Opportunity to work with a leading organization in the insurance industry
- Remote working environment
- Competitive compensation package and benefits
Reach us
If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at prachi.gupta@crescendogroup.in
Disclaimer
Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note
We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
Profile keywords
Assistant Manager, Catastrophe Modelling, Data Modelling, Remote, Insurance industry, Mathematics, Statistics, Actuarial Science, RMS, SQL, Python