Educational Background

Bachelor of Mathematics, Department of Mathematics, Fudan University, 2001-2005

Work Experience

With 18 years of experience in the Chinese life insurance industry, Xi Chen has long been involved in the intersection of actuarial and model and system development, promoting actuarial modernization and insurance digitalization. Mr. Chen Xi is the founder and chairman of Deep Light Technology, and has led the development of China's first fully independent actuarial forecasting software platform, breaking through the technological and product monopoly of the US, UK and Canada in this field, achieving qualitative improvements in efficiency and ease of use compared to overseas products, filling the gaps in China and supporting the development of Cintron. Mr. Chen also led the development of an insurance actuarial cloud platform that integrates product pricing, actuarial valuation, empirical analysis and assumption management functional scenarios, supporting insurers to significantly improve the efficiency of data analysis and enhance the reliability of the analysis process using cloud-based technology and digital achievements. Prior to this, Mr. Chen Xi worked for PricewaterhouseCoopers and Willis Towers Watson, where he was responsible for the delivery of relevant actuarial consulting and model implementation projects, and held team leadership and management positions.

Mr. Chen is experienced in quantitative forecasting model development, insurance strategic planning, product design and management, and risk and capital management.

Mr. Chan is familiar with the use of various types of life insurance forecasting software and is proficient in a variety of computer languages including C/C++, VB, SQL, Java, SWIFT, PHP, etc. He has a deep understanding of the principles of various life insurance forecasting platforms, the architecture and development of models on them. Mr. Chan has extensive experience in using and maintaining many of the major actuarial software in the global market and has led a number of large scale design and implementation projects. The forecasting models designed, developed, optimised and/or reviewed in Mr. Chan's projects cover all major types of domestic life insurance products, with model application scenarios covering all measurement types such as product pricing, reserve valuation, IAS, solvency valuation, value valuation, asset liability management, etc.

Mr Chen has led the development of an efficient actuarial forecasting framework and modeling algorithms that have brought tens of times improvement in computational efficiency to clients. His accompanying automated processes have reduced the time taken to prepare relevant in-depth analysis materials for users from several hours to minutes.

Mr. Chan has provided strategic advisory services to a number of life insurance companies in areas including overall strategy, channel strategy, product strategy, business planning, expense analysis and improvement, risk appetite and capital strategy, asset liability management strategy and strategic asset allocation. Clients include a number of medium to large domestic insurance companies as well as joint venture life insurance companies.

Mr. Chen has extensive experience in the intersection of insurance and investment, such as comprehensive asset-liability management, intrinsic derivatives assessment in insurance products, market consistency assessment, and design and development of economic scenario generators, and has extensive domestic and international project experience. He is also invited to provide training to various client companies and organisations.

In addition, Mr. Chan actively cooperates with various universities to help train new talent in the actuarial field, improve the market ladder and contribute to the sustainable development of the relevant insurance professional segments through organising courses, personal lectures and seminars. Courses taught by Mr. Chen include: Life Actuarial Practice, Life Actuarial Modelling, etc.

Project Experience

 Development, reconstruction and optimisation of life insurance valuation models on more than mainstream actuarial modelling software, models covering: accounting standards reserving, capital requirements under Solvency II, traditional embedded value and new business value, European style embedded value, market consistent embedded value, economic capital, US GAAP liability modelling, IAS modelling, etc. Clients include more than twenty domestic insurance companies, including: headline insurers, small and medium-sized insurers, and representative joint venture insurers, as well as more than ten life insurers across the East Asian insurance markets.

 Embedded value and new business value reviews for a number of major listed insurers and several small and medium sized insurers.

 Actuarial reserving and solvency reviews for more than ten life insurance companies.

 Embedded value due diligence, with clients including dozens of insurers.

 Asset modelling and asset liability management. Assets covered include: equity assets, preference shares, fixed income assets, equity bearing assets, cash and cash equivalents, alternative assets, etc. A variety of policyholder behaviour models are tested in the project to fit realistic asset performance, with calculations done on computer clusters through stochastic methods such as Monte Carlo. Clients include over a dozen domestic life insurance companies and several East Asian insurance companies.

 helps insurers to optimise their strategies, including product and pricing strategies, value strategies, capital strategies, etc. Through quantitative modelling, it assists insurers to analyse company performance under various strategic paths and to make sound decisions. It also assists companies in making sound decisions on the most