Quantitative Associate Consultant
1 week ago
Position Overview
Join a leader in the claims services industry-renowned for delivering innovative solutions to top (re)insurers. Our Quantitative Services team is expanding, and we're looking for a motivated and entrepreneurial Quantitative Associate Consultant to help shape the future of our dynamic and fast-paced industry. This is an exciting opportunity to grow with us and make an impact in a rapidly evolving field.
Key Responsibilities
- Perform quantitative analysis on long-term or high exposure insurance claims, including policy exposures such as Asbestos, Sexual Abuse & Molestation, PFAS, Opioids, Product Recall, and Toxic Tort.
- Build and model loss allocation scenarios, considering drivers of loss variability, allocation across multiple policy years, and across multiple insurance towers.
- Develop customized solutions for clients by combining insurance, financial, and legal considerations to accurately model various claim scenarios.
- Collect, clean, and transform data from multiple sources, ensuring accuracy and completeness for further analysis.
- Provide ad-hoc reporting, data reconciliation, and collaborate with the Quantitative Services team to address additional data needs for precise modeling.
Qualifications
- 3+ years in consulting, financial analysis, auditing or forensic accounting
- Bachelor's degree in Mathematics, Statistics, Economics, or a related field
- Proficiency in Excel and data analysis techniques
- Experience in consulting or a similar role is preferred
- Strong analytical and problem-solving skills
- Familiarity with claims
Benefits
- Remote work enviroment
- Medical, dental, vision insurance
- Short and long term disability coverage
- Life insurance and AD&D insurance
- 401k retirement savings plan with employer match
- HSA and FSA offerings
- Charitable matching
- Employee assistance program
- Commuter benefits
- Employee discounts
- PTO and sick time
- Company paid holidays
Applicants must be authorized to work in the U.S.Learn More
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