Application Engineer

4 weeks ago

Bengaluru, Karnataka, India Swiss Re Full time
About the role:

In Risk Management InfoTech we are at the forefront of Swiss Re's public cloud journey, using innovative technologies and combine it with engineering expertise. If You can bring powerful, yet simple solutions with an engineering mentality to build and extend Risk Management capabilities, then this position is for you
Your responsibilities include
  • Implement and integrate actuarial models into production environments ensuring seamless execution and reliability
  • Act the first point of contact with the actuaries on R related changes
  • Work closely with the engineers to integrate the R code with the rest of the application
  • Ensure technical standards are met, controls are met and document the model and processes
  • Proactively look for optimizing and simplifying the current processes
  • Conduct thorough testing and validation of actuarial models to ensure accuracy and reliability in production environments
About the team:

Swiss Re launched a new strategic reserving platform for its non-life business. Through this platform we support our reserving actuaries to set our quarterly best estimates on our insurance reserves to pay-out our future obligations. The entire solution is being built natively on Azure with the actuarial community owning the models in R. The usage of R in the platform is rather exceptional, integrating with other programming languages. We are passionate about technology and eager to learn on the go. We closely collaborate with other teams and colleagues around the globe to share knowledge and engineer simple yet effective solutions. Upskilling and continuous learning is natural part of our work with focus on maintain a flexible and collaborative working environment.

About you:

We are seeking a skilled and experienced actuarial application engineer with a strong background applying R programming language. The ideal candidate will have a track record in the financial services field with a focus on designing, implementing, and maintaining models and analyses using R. This role requires an understanding of actuarial concepts, statistical methodologies and the ability to translate business requirements into effective, scalable solutions.
You should bring the following skills And experiences
Must have:
  • 3 years of experience in Java
  • Experience developing in R in a productive environment
  • 1-2 years' experience in financial services industry
  • Provides attention to detail and ensures quality
  • Experienced self-starter, who can work independently and strong focus on solving problems.
  • Curious mind-set and passionate about leveraging technology to optimize the processes.
  • Ability to work with tight deadlines.
  • Bachelor's degree in engineering, mathematics, actuarial science or equivalent combination of technical education and work experience
Nice to have:
  • Hands-on knowledge of Python, SQL is an advantage.
  • Familiarity with ML ops
  • Completed a few actuarial papers.
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. We cover both Property & Casualty and Life & Health. 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.

Keywords:
Reference Code: 128722

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