Senior Analyst/Research Scientist Trend Spotting

Swiss Re
Armonk - United States
S: Base plus bonus

The Trend Spotting Team is an exciting new unit created at the highest level in the organization to provide data-based, independent, forward looking, quantitative analysis to help position Swiss Re's underwriting and improve costing.

We are looking for a motivated and experienced natural scientist / physicist (eg environmental engineer), ideally with significant re-insurance experience (casualty LOB preferred) and data modeling / quant skills, with an affinity for insurance / risk business, to assist in spotting external trends and developments and helping translate them into appropriate loss inflation, loss frequency or exposure growth assumptions through predictive modeling / statistics. Research-savvy a must. You will work on a wide variety of projects cutting across Swiss Re's business units and lines of business, with an initial focus on US Casualty.
- Contribute to establishing a network / process / framework to early identify trends affecting the insurance landscape
- Influence the process to high-level quantify / prioritize trends that have a significant impact on insurance relevant parameters (for the major re-insurance portfolios assumed by Swiss Re)
- Perform quantitative analyses on internal and external trend data to determine impact of prioritized trends on costing relevant parameters
- Analyze and use external studies that link external trends with loss inflation, loss frequency trends or exposure growth
- Complement quantitative analysis with expert judgment where perceived correlations cannot be observed in insurance data

To deliver on these tasks you will need to maintain a wide external network and be creative in both identifying external data sources, especially qualitative ones, and securing as well as translating the information necessary to perform the quantitative analyses.
Experience:
- Natural scientist / physicist / engineer
- Sound experience in driving complex projects
- Proven modeling expertise, including multi-dimensional correlation models
- Proven ability to identify and translate qualitative variables into quantitative ones for the purpose of exploring correlations and modeling / practical experience with big data
- Demonstrated research skills; particular knack for identifying, sourcing and handling data to include in models

Interpersonal skills:
- Comfortable in senior management environment
- Strong communication / influencing skills
- Ability to present ideas / challenge status quo with confidence
- Sound conflict management skills

Working style:
- Hands-on approach
- Results-driven
- Pragmatic, able to make decisions with partial information
- Team player with a high degree of personal accountability
- Open and curious, quick-minded, fast-learner, creative, extroverted

Languages:
- Proficient in English (written and spoken)

The Company is an equal opportunity employer. It is the practice of the Company to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientation, marital status, military status, or any other characteristic protected by law. Decisions on employment are based solely on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR professional of the accommodation needed.

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