Associate Risk Modeller

Year    Bangalore, Karnataka, India

Job Description


About the RoleWe are working at the intersection of risk modelling, data and technology. To handle this complexity, we rely on curious coworkers with an eagerness to learn, who can contribute to the positive atmosphere in our team and develop our risk model by developing themselves.Do you share these values? Then this position might be just right for you: we are looking for a colleague that is complementing our team as a Risk Modeller!. Our internal model is an outstanding source of risk quantification of all asset and liability risks and risk transfers. It has been developed to measure capital adequacy as well as a steering tool.The job therefore offers a tremendous opportunity to gain insights into the business steering, risk landscape and infrastructure of a global reinsurance company!

  • Design and implement improvements in our company\'s risk models to enable a comprehensive view on risk and integration of risk models for business steering.
  • Analyse and use data from various sources, such as finance systems, costing platforms, underwriting data bases to understand the underlying risks.
  • Develop new modelling approaches, maintain and improve the existing models.
  • Communicate and explain models and results to internal partners and regulators.
  • Address findings/issues from internal risk model validation and regulators. Ensure accurate documentation.
  • Collaborate with colleagues across business and IT functions to design robust and efficient solutions.
About the TeamWe are a team of highly motivated and skilled Risk Modellers within Group Risk Management tasked to build and maintain Swiss Re\'s internal capital model, which is used for regulatory reporting (SST and Solvency II) and capital allocation. We work with numerous internal partners in Risk Management, Actuarial, Finance, Investments and Underwriting as well as regulators. We have implemented a state of the art modelling platform over the last years that you will operate, expand and improve. We are passionate about delivering benefits to our partners and are a highly collaborative and diverse team.About You
  • Strong quantitative background, e.g. mathematics, computer science, physics, engineering.
  • Graduate degree (MSc and/or PhD) in a quantitative science
  • Experience in actuarial, risk or underwriting functions would be an asset.
  • Proficiency in programming in Python or other programming languages
  • Working style: focused, well-organized, self-motivated, great teammate, open and curious, quick-minded, fast-learner.
  • Good communication skills with the ability to explain sophisticated matters in an understandable way.
About Swiss ReSwiss 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.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.Keywords:
Reference Code: 130998

Swiss Re

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Job Detail

  • Job Id
    JD3490826
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year