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Actuarial Science



Evaluating, modeling, and managing risks

Engineer’s degree (diplôme d’ingénieur) with a major in Actuarial Science in a French CTI-accredited engineering school

Actuary regularly makes the top 10 best job lists (Forbes, Career Cast). Just like engineering, actuarial careers are rich and varied, as evidenced by the broad range of subjects taught and professions practised. Actuaries mainly work in insurance, banking and asset management, brokerage, consulting and auditing, supervisory authorities and even in some major industrial groups (mergers/acquisitions, employee benefit liabilities, remuneration). Regulatory, prudential and accounting changes in these sectors are driving businesses to constantly improve their risk management and modelling. The favourable employment market means that actuaries are increasingly sought-after for their capacity to assess financial, cyber and pandemic-related risks. The Actuarial Science major aims to train engineers to pursue a career in this dynamic sphere with classes focusing on professional expertise given by around 25 experts working in the field.

This course is offered on the Paris campus. 

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Actuarial science major

ESILV Master’s Degree in Engineering

 


Graduates of the Actuarial Science major are fully integrated into an insurance and audit market that is being renewed by technological innovations, data science and all the new insurance start-ups, assurtech. The course framework meets the standards imposed by the French Institute of Actuaries with close to 1,200 hours of classes, lectures, and projects dedicated to actuarial science over two years.

Five double-degrees

Including four double-degrees with the Dauphine, EURIA, DUAS and ISUP Actuarial Science master’s degrees, (around twenty students every year). Possibility of obtaining a triple degree with EMLV.

Teaching

  • Data analysis and Big Data
  • Machine Learning and Deep learning
  • Financial models, Market finance, Portfolio management
  • Derivatives & hedging strategies, Options theory, Interest rate risk
  • Advanced probability and stochastic processes
  • Extreme value statistics, Natural disaster modelling
  • Economics, Accounting, Law
  • Insurance law and compliance
  • Solvency 2, IFRS 9 and 17
  • Model building, Asset and liability management
  • Economic scenario generators
  • Life, Non-Life, Reinsurance, Reserving
  • Employee benefits, Pensions, Health, Retirement

Skills developed in Actuarial Science

  • Understand actuarial methods
  • Master the legal, accounting and prudential environment
  • Master the pricing and provisioning of insurance products
  • Master the tools of Data Science and Big Data
  • Be able to design and implement the insurance products of tomorrow
  • Know how to use the following software SAS, R, VBA and Python to solve problems


Careers

Actuarial Analyst; Statistical Analyst; Actuarial Consultant; Actuary Underwriter; Pricing, Product, Inventory and Reinsurance Actuary; Life Insurance, Employee Benefits and Pensions Actuary; Internal Auditor; Risk Manager; Asset and Liability Manager; IFRS17 Consultant; Financial Modelling Risk Manager; Data Scientist; Insurance Supervisor; Financial Auditor; APCR (French Prudential Supervision and Resolution Authority) Controller.

#INSURANCE
#FINANCE
#AUDITING
#CONSULTING
#STATISTICS
#DATASCIENCE
#RISKMANAGEMENT





Programme overview

Actuarial Science Major

MODELLING AND RISK MANAGEMENT
Extreme Value Statistics
Stochastic Calculus
Simulation and modelling methods
INSURANCE REGULATION AND RESERVING
Provisioning
Solvency 2
LIFE AND NON-LIFE INSURANCE
Life insurance
ALM
Non-life insurance 1

IN-DEPTH ACTUARIAL STUDIES
Social commitments (Retirement, Social commitments, Provident)
Economic scenario generators
Reinsurance
RISK MANAGEMENT IN FINANCE
Diffusion models
Portfolio management theory
INSURANCE ACCOUNTING REGULATIONS
IFRS 9 / IFRS 17
Insurance accounting
ADVANCED STATISTICAL METHODS FOR ACTUARIAL WORK
Non-life insurance II
Deep Learning
Time series





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