Research & Development Specialist – Parametric Reinsurance
| Company | Marsh & McLennan |
|---|---|
| Location | New York, NY, USA |
| Salary | $65600 – $108300 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Bachelor’s degree in a technical discipline related to the study of natural hazards, engineering, or science, with at least one journal publication we can review.
- Excellent coding skills in MATLAB (preferred), Python, or similar computing language. Eventually, all production code is translated into MATLAB, our core platform. Coding skills will be tested.
- Exceptional attitude and flexibility to work effectively under pressure, with a cohesive team, and with different external audiences.
Responsibilities
- Show passion and curiosity to advance the state of the art in catastrophe risk transfer and insurance in the context of evolving environmental challenges.
- Conduct independent research on parametric instruments and natural hazards, and provide progress reports for the team, clients, and colleagues on a regular basis.
- Translate research hypotheses into well-structured code (MATLAB is our core software platform) and demonstrate ability to rigorously test these hypotheses and thoroughly document results.
- Advance with independence through obstacles and resourcefully find alternatives and solutions to technical, business, mathematical, or programmatic challenges that arise continuously.
- Communicate with excellence in oral (presentations) and written forms, and show ability to convey difficult technical concepts to non-technical audiences.
- Portray the team’s work professionally in a multi-cultural, global business environment, with clients and colleagues.
Preferred Qualifications
- Master’s degree or Ph.D. in a technical discipline related to the study of natural hazards, engineering, or science, with at least one journal publication we can review.
- Technical publications as first author in international peer-reviewed journals.
- Expertise in MATLAB coding.