Property Product Specialist

Year    Hyderabad, Telangana - Bangalore, Karnataka, India

Job Description


Please submit this information to your Recruiter to get started on posting an open role.This template provides the necessary sections and some quick notes on what should and should not be included. You may refer to the for additional notes and helpful tips.Functional Title:Product SpecialistCorporate Band:ENumber of direct reports:0Line Manager (Name & functional title):Sherri HuSwiss Re Entity:Job Family:DataGlobal Function:Reinsurance SolutionsLocation:Bangalore, KA, INHyderabad, TG, INJob Title for posting (section header)Product Specialist (Hybrid Work Model)Write an opening sentence ahead of the sections below. (not a section header)Are you passionate in enhancing and creating new products across different countries through big dataset analysis and modeling? Join us at Property Solutions team and help us drive growth of the exposure data services to better assess the property risk for insurance purpose.About the Role (section header)As a Product Specialist, you will work closely with co-workers within Product team, IT development team, Sales team and our partners to develop exposure data service for various countries under the general guidance. You will use your strong data science skillsets to help analyze, evaluate and model various property datasets to enhance the competencies of the product.About the Team (section header)We are a team with broad ranges of knowledge and expertise in areas such as geospatial data and analytics, marketing research and analysis, natural catastrophe modeling, product development, risk engineering and underwriting. The team is a key pillar of Reinsurance Solutions and provides critical roles helping Reinsurance Solutions drive revenue growth.About You (section header)We are looking for an execution-oriented team-player who can think creatively, communicate effectively with cross-functional teams, and deliver in ambiguous situations.Essentials:

  • Master\'s degree or above in Data Science or similar.
  • Minimum 5 years of experience in big data analysis and modeling such as data imputation.
  • Basic understanding of key property attributes that can impact the risk related to property insurance.
  • Fluent in Python, SQL, QGIS or ArcGIS.
  • Fluent in English.
Nice to Have:
  • 3 or more years of experience in Machine Learning (ML) models or in the P&C insurance industry.
  • Experience in project or product management.
  • Fluent in a secondary language such as Chinese, French, German, etc.
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: 131333

Swiss Re

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Job Detail

  • Job Id
    JD3465366
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Hyderabad, Telangana - Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year