Health Pricing Analyst

The position requires experience in SQL and Python programming, as well as in data processing and analysis.

The position requires knowledge of statistical and predictive modeling, including GLM models and machine learning techniques applied to the insurance business.

You will be part of a team with experience, with whom you can continue to develop and grow your profile.

We are looking for a proactive person, interested in continuous learning, and able to work independently.

· Insurance actuary, preferably, or a degree in Exact Sciences, Statistics, or Data Science.

· At least 2 years of experience in actuarial areas, pricing, or advanced analytics within the insurance sector, with experience in Health being especially valued.

· Programming knowledge in different languages (Python, SAS, R).

· Knowledge of actuarial modeling and optimization tools (Emblem, Radar, Akur8).

· Knowledge of reporting and visualization tools (Power BI).

· Proficiency in Microsoft Office.

· Experience in the field of Data Science, Machine Learning, predictive modeling techniques, and cloud computing (AWS) will be valued.

We are one of the world's most important insurers, made up of positive, dynamic, and committed people who make things happen. We believe that our diversity adds value to our teams, our culture, and our customers. We know that the best ideas and solutions arise in inclusive environments where we all feel seen, heard, and valued so that we can develop our full talent.

What we offer:
We have been recognized as one of the best places to work in Spain by the Forbes list and Actualidad Económica ranking, and we have the best value proposition for everyone who is part of Aegon:

🤸♂️ We advocate for flexibility through our hybrid work model: you can work remotely four days a week and also share time in offices adapted to an agile methodology.
💃🏻 We help you balance work and personal life, with flexible hours throughout the year and reduced hours in summer.
🥰The best actions for your physical and mental well-being (free health insurance, on-site physiotherapy, healthy lifestyle initiatives, etc.) and a wide range of benefits and social advantages (the company makes a high contribution to your pension plan, retirement savings insurance, flexible compensation, training support, Christmas gift, etc.).
🏔️Development opportunities at all levels through cross-functional and international projects. We have recognition initiatives, variable compensation for everyone, and continuous feedback. Our management model is based on having quality conversations on a regular basis, where you play a leading role.
💙Culture: 85% of employees are proud to work at Aegon. We are an international, approachable, and empathetic company.

The job opportunity of a lifetime
Would you like to help people live their best life?, that is what we dedicate ourselves to every day. We achieve this because we are a company of people who care for people, with
curiosity, connected to the reality around us and focused on leaving a better world than the one we found. We always learn from our clients and from other people.

We hope it excites you as much as it excites us!

As a Health Pricing Technical Analyst, your main role will be to carry out the following tasks:

· Maintenance and updating of predictive models used in the renewal of health portfolios (claims and lapses).

· Technical management of the monthly health portfolio renewal process, including profitability analysis, definition of premium update proposals, and evaluation of different renewal scenarios.

· Participation in the design and launch of new health products, preparing feasibility analyses, profitability estimates, and pricing proposals.

· Preparation and maintenance of technical and governance documentation associated with pricing models, methodologies, and practices, including pricing reports, technical notes, and documentation required by the Group.

· Monitoring and analysis of renewal and pricing model predictions (backtesting).

· Statistical and actuarial analysis for the development and improvement of pricing methods.

· Conducting profitability analyses and monitoring technical indicators to identify opportunities for improvement in portfolio, products, and customer segments.

· Execution of the full analytical cycle: data extraction and processing, building indicators, and drawing conclusions to propose business actions.

· Support to the marketing area by providing key variables for the definition of retention actions.

· Support to commercial areas in conducting analyses of zones, profiles, commissions, or calculations for incentives.

· Collaboration with Business, Commercial, Marketing, Product, Operations, and Risk areas, providing analysis and recommendations for decision-making.

· Participation in automation initiatives, process improvement, and analytical transformation, including migrating developments from SAS to Python.

Hernández García, Laura