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Location: 

Armonk, NY, US

Actuarial Analyst Graduate - Casualty Research and Development

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.

 

 

About the Program

We are looking for graduates with strong interpersonal skills, who are eager to learn and broaden their knowledge and expertise. You have a Bachelor, Master or PhD degree with up to 3 years professional experience – we invite you to apply to our graduates@swissre programme 2022.

The program offers you the chance to join the dynamic, fast paced world of a leading risk knowledge organisation. Over an 18-month period, you’ll receive on-and-off-the-job training, including a job rotation that gives you the opportunity to work across different business units.

 

About the Team

Our vision is to power the Casualty business with forward looking analytics and to innovate how we underwrite. As Swiss Re's Casualty Research and Development department we are passionate about researching trends relevant for the Casualty portfolio and translating our work into impactful strategic business insights. Our work ranges from crafting the strategic outlook of the Casualty lines, to developing short term forecasting models for costing parameters. Our Data Science team applies machine learning techniques to unlock the potential of data, while the Modelling team develops costing methodologies, like our patented Liability Risk Drivers™ forward-looking model and the modelling tools needed to advance underwriting excellence in Casualty.

We are a multi-national team of around 25 operating out of Zurich, New York and Bangalore and a wide variety of cultural and professional backgrounds. We are part of the Swiss Re Institute working closely with our underwriting units and all business functions globally. The Casualty R&D Americas team consists of 4 Casualty Specialists, well integrated in the broader Casualty community.

 

About the Role

Are you wondering what impact inflation, climate change or the behavior of lawyers will have on insurance claims? Are you eager to drive the success of Swiss Re's Casualty business with your analytical and creative mindset? If those questions resonate with you, we have a job for you!

 

As an Actuarial Analyst, you build on your strong quantitative and modelling skills to develop and deliver concrete analytical insights.

 

Your main responsibilities include:

  • Track Casualty-relevant analytics and emerging trends that influence underwriting and stay ahead of market changes
  • Source and analyze data sets (e.g. accident statistics, court filings etc.) to identify leading indicators that underlie loss and rate trends.
  • Collaborate with our internal and external partners to identify and address their business needs.
  • Manage and contribute to topics and projects delivering tangible research insights to the business.
  • Develop forward-looking views for strategic portfolio steering and capital allocation, identifying risks and opportunities.

 

About You

You bring the following qualifications:

  • Strong academic background in a quantitative field (e.g. math, computer science, natural science, engineering, economics)
  • Hands-on experience in R or similar programming language and ability to carry out your own analysis

We all rely on our independence and dedication to achieve our goals. Therefore, you:

  • Want to make a difference
  • Are curious, creative, and self-motivated to drive topics independently
  • Have strong strategic thinking and problem-solving skills, flair for numbers and mathematics
  • Are willing to grow into a business role with a quantitative touch
  • Have strong verbal and written communication skills

 

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 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.

We are looking forward to your application!

 

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.

 

As the COVID-19 pandemic continues to impact the world, it is our responsibility to help keep our employees, customers, partners and communities healthy and safe.  SwissRe will require all candidates interviewing in person in Canada to provide evidence of vaccination when arriving at our offices. 

 

Keywords:  
Reference Code: 118670 

 


Nearest Major Market: White Plains
Nearest Secondary Market: New York City

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