Natural Catastrophe ("Nat Cat") Specialist / Flood

Swiss Re

Armonk, NY, USA 🇺🇸

Are you looking for a unique opportunity at the intersection of science, engineering, and business? Do you want to be part of our efforts to bring our natural catastrophe modeling framework to the next level? Do you want to help us increase our confidence in natural catastrophe risk assessment and decision making? Then, this role may be for you. 

About the Role

As a member of the catastrophe perils (“Cat Perils”) team, you will join our efforts to develop innovative models used for quantifying physical and economic impacts of natural catastrophes. You will collaborate with internal partners and external organizations and craft solutions to reduce negative consequences of catastrophes. You will have opportunities to transition into a wide range of technical and non-technical roles and advance your career in the financial industry. 

In your role as a Natural Catastrophe (“Nat Cat”) Specialist with expertise related to Flood, you will: 
 

  • Develop and improve models for assessment of risk associated with hydrometeorological hazards (including inland flooding, storm surge, heavy rainfall, drought, and other associated perils) 
  • Acquire and analyze data to quantify the physical and monetary impacts of flood hazards on buildings, facilities, and infrastructure. 
  • Leverage novel technologies such as remote sensing and machine learning to evaluate exposure to natural hazards. 

About the Team 

The catastrophe perils (“Cat Perils”) department is responsible from development and advancement of Swiss Re’s global natural catastrophe risk assessment framework, models, and tools. The team consists of approximately 50 dedicated engineers and scientists in multi-faceted technical fields. We rely on our proprietary Nat. Cat. modelling technology to bring latest science and engineering as well as our unique underwriting experience and expertise to grow Swiss Re’s edge in Nat. Cat. re/insurance.  We create value for Swiss Re by driving confident Nat Cat decisions, in close collaboration with peers in underwriting and other functions. 

About You 

In this role you will have the unique opportunity to shape the future of Swiss Re’s natural catastrophe modelling landscape. A successful candidate should have a desire to use problem-solvingskills in applying sound scientific methods to solve unique and challenging problems in the fields of climate, atmospheric and weather-related perils. It is expected that candidates will be highly motivated, detail-oriented, well-organized, able to perform high-quality self-directed research, have outstanding written and verbal communication skills, and be team-oriented. 
   

Requirements: 

  

  • M.S. or Ph.D. degree in natural sciences; engineering or a related technical field. Experience in state-of-the-art applied research in hydrology, meteorology, or inland or coastal flood risk a plus. 
  • Industry or academic experience in flood/climate/natural catastrophe modelling. Modelling experience in a re/insurance context is a plus. 
  • Strong analytical and programming skills (e.g., Python, Matlab), record in successfully developing data analysis applications; experience with statistics and machine learning is a plus. 

Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average.  This role is eligible for both: location assistance and visa sponsorship, for candidates who are in USA.

For Armonk, NY, the estimated base salary range for this position is $112,000 to $180,000.  The specific salary offered for this, or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.  At Swiss Re, we take a “total compensation approach” when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based 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.
 

Keywords:  
Reference Code: 131573 


Nearest Major Market: White Plains
Nearest Secondary Market: New York City
Job Segment: HR, Data Analyst, Underwriter, Human Resources, Data, Research, Insurance


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