3 Insurance Pricing Jobs

The role involves identifying and understanding risks, preparing RFQs and comparatives, negotiating pricing with insurers, and designing insurer benefits for corporate clients regarding Employee Benefits (EB) products. Sales support is also a key aspect of the role. You will be responsible for: - Preparing RFQs and proposals for EB products such as GPA and GMC, and obtaining competitive quotes from insurers. - Conducting in-depth analysis of claims MIS and terms and conditions to assess risks and present them to insurance companies. - Negotiating pricing with insurers and understanding factors that contribute to cost-saving discounts. - Creating QCRs, placement slips, and presenting quotes to clients. - Collaborating with the sales team to grasp client requirements and offer comprehensive solutions for placing business with insurers, including generating quotes, preparing comparative statements, following up, and vetting policies. - Identifying client risk exposures, understanding insurance needs, and providing suitable insurance solutions. - Holding timely meetings with insurers and client stakeholders to build and maintain strong relationships. - Demonstrating proficiency in dealing with PSU insurers and understanding their operations, including PSU calculators and formats. Desired Candidate Profile: - At least 5 years of experience in the insurance industry, focusing on managing insurer relationships and EB placement. - A minimum of a Graduate degree, with an MBA in insurance considered a plus. - Strong verbal and written communication skills with clarity of thought and expression. - Proficiency in MS Excel and MS Office. - Strong analytical skills to effectively analyze data and information.,

As a Pricing Actuary at Swiss Re, your primary role involves assessing portfolio performance, identifying key drivers, and providing independent actuarial pricing opinions to enhance portfolio performance. You will collaborate with Senior team members and stakeholders in various departments such as Underwriting, Reserving, Claims, and Finance to develop a comprehensive view of the portfolio and enhance its performance through independent Actuarial Pricing opinions. Your responsibilities will include using actuarial methods and data science techniques to gain insights into trends, set costing parameters, and enhance the predictability and accuracy of costing models. By analyzing profitability studies and working with the team to translate findings into actionable insights, you will play a crucial role in steering the profitability of the portfolio and contributing to the overall Business Unit's performance. The Actuarial Portfolio Management (APM) team, part of the Global Actuarial Portfolio Management unit at Swiss Re, operates under the leadership of the Chief Underwriting Officer. The team comprises both seasoned experts in dedicated product specializations and highly motivated newer members who thrive in a dynamic and fast-paced learning environment. We prioritize inclusivity, value diverse perspectives, and encourage innovative thinking to ensure equal opportunities for professional development. In this role, you will develop forward-looking portfolio insights, drive data-driven initiatives, and contribute to the strategic direction of Property & Specialty lines of business. By engaging in various Actuarial investigations, including exposure analysis, Rate monitoring, and profitability analyses, you will actively contribute to portfolio steering efforts. To be successful in this position, you should have a minimum of 4 years of experience in P&C commercial insurance, with knowledge of Property and Specialty insurance products being advantageous. Proficiency in insurance pricing, portfolio profitability analysis, and costing model development is essential, along with familiarity with costing techniques and commercial insurance and reinsurance treaty pricing. Your technical skills should include highly developed numerical and analytical abilities, proficiency in statistical programming languages such as R and Python, and a willingness to learn actuarial methods and data science techniques. Additionally, you should possess a Master's degree in mathematics, Statistics, Economics, or equivalent quantitative/statistical fields. As a valued member of the team, you should demonstrate a keen interest in learning and applying advanced actuarial methods and data science techniques, along with a motivation to deliver high-quality results within specified timelines. Your ability to prioritize tasks, collaborate effectively with team members, and communicate insights clearly in various situations will be instrumental in driving collective success. Join Swiss Re, a global leader in reinsurance, insurance, and risk transfer solutions, where you can contribute to making the world more resilient by anticipating and managing a wide range of risks. With a focus on innovation, collaboration, and expertise, Swiss Re offers an exciting environment where you can create new opportunities and solutions for clients worldwide.,

Understand the basics and principles of cat modelling and outputs (exposure, hazard, geocoding, vulnerability, financial model) Use one or more catastrophe modelling software tools (e.g., RMS, AIR, IF) Run and analyze QBE exposures using Risk Modeler, AIR Touchstone, ELEMENTS, etc., based on model validation and business needs Understand model profile settings and conduct sensitivity tests; extract and report results Understand client exposure and risk perspective to support decision-making; utilize in-house tools Perform model validation and provide recommendations for model usage or adjustments Collaborate with internal teams and external data providers, using data from scientific sources, claims, and insured exposure Contribute to and lead group-wide projects in coordination with global teams Produce customized reports on exposure data and modeled results Evaluate re/insurance pricing for individual accounts and product classes Analyze catastrophe reinsurance structures and strategies to assist in reinsurance placements Support real-time event analysis and post-event review insights Qualifications : Degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science Postgraduate/Undergraduate degree in a quantitative, scientific, or environmental discipline preferred Strong analytical and numerical skills to manage large datasets Experience with re/insurance catastrophe data and/or cat modelling software Excellent written and verbal communication skills with the ability to explain technical concepts clearly Proactive approach to identifying inefficient processes and proposing improvements Desirable Requirements : Knowledge of commercial insurance or catastrophe modelling industry Working knowledge of RMS, AIR, or other vendor modelling platforms Coding experience in SQL, VBA, R, C#, or similar Experience with GIS or other mapping software