UNLOCKING THE FUTURE OF INSURANCE -
A DEEP DIVE INTO AI AND MACHINE LEARNING

Are you a (re)insurer looking to adopt AI and machine learning (ML) techniques to boost your performance and the efficiency of your processes? Do you want to nurture a culture of innovation in your company?

 

We can deliver a virtual workshop designed to educate your team on the applications of AI and machine learning. Through this 1.5-hour interactive session we will cover the most relevant use cases in the insurance domain and the opportunities and challenges posed by adopting these advanced technologies.  Our experts will provide practical examples, share lessons learnt from successfully delivered AI and ML projects and run exercises tailored to the specificities of your business. We will also provide insights on how you can upskill your team to enable them to develop, train, test and deploy models in a safe, controlled manner and how you can address aspects of model transparency and explainability.  

 

This workshop is intended for insurers, reinsurers and pension funds, and will be relevant for senior stakeholders and key members of your Risk, Actuarial, Finance, Accounting, Reporting and Underwriting teams.

 

The topics that will be covered include:

  • Customer segmentation
  • Machine learning in pricing, assessment of fairness
  • Chatbots, customer support
  • Extracting information from documents
  • Mortality and lapse (churn) predictions
  • Fraud and anomaly detection

 

We will help you identify and prioritise your projects to maximise return on investment. The agenda for the session is shaped jointly with you, according to your business needs.

Request your workshop



About the team

Bence Zaupper
Managing Consultant - Expert in BMA, Solvency II / ICS / Market Risk / Actuarial and Risk Modelling / Internal Models Approval and Validation / Risk Appetite

Bence is a senior actuary with 20+ years of experience in life actuarial science and reporting in Solvency II, IFRS, BMA EBS and ICS regulations. His focus has been on actuarial and risk modelling - including capital projections, market risk management and internal model validation – and ERM framework design. Bence delivers business transformation, reinsurance, new authorisation and M&A projects and is keen on applying machine learning and data analytics for actuarial use cases.

Marino San Lorenzo
Consultant - Expert in Actuarial Modelling / Quantitative Risk Management / Data Science / (gen) AI / Python Programming / MLOps

Marino is a Senior Quantitative Risk & Machine Learning consultant at Finalyse. He is a qualified actuary with 7 years of experience. He has successfully delivered several projects for banks and insurance companies including a conversational chatbot, AI-powered price optimisation engine, Deep Learning time-series forecast models, challenger software for Credit Risk, AML, and PEP models for traditional and fully digital banking. His expertise extends to non-life insurance pricing,  risk modelling, and regulatory frameworks such as IFRS and Solvency II. He is proficient in Python, Linux, Docker, Flask, GCP,  Azure, AWS, and various other tech stacks.

Finalyse Insurance

Finalyse offers specialized consulting for insurance and pension sectors, focusing on risk management, actuarial modeling, and regulatory compliance. Their services include Solvency II support, IFRS 17 implementation, and climate risk assessments, ensuring robust frameworks and regulatory alignment for institutions.

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Finalyse leverages 35+ years of banking expertise to guide you through regulatory challenges with tailored risk solutions.
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Our aim is to support our clients incorporating changes and innovations in valuation, risk and compliance. We share the ambition to contribute to a sustainable and resilient financial system. Facing these extraordinary challenges is what drives us every day.

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Unlock your potential with Finalyse: as risk management pioneers with over 35 years of experience, we provide advisory services and empower clients in making informed decisions. Our mission is to support them in adapting to changes and innovations, contributing to a sustainable and resilient financial system.