Help financial institutions deal with risks
How does a financial institution deal with financial uncertainty, liabilities, IT security threats and data-related risks? Risk management is all about identifying, assessing and controlling such threats to an organisation's capital and earnings. Since especially digital developments are moving increasingly fast, the field of risk management keeps bringing you interesting challenges to sink your teeth into.
Lecturers leading in their field
Your lecturers will be industry experts and leading researchers who conduct world-class research in the field. They are enthusiastic about introducing you to the latest developments and their theories on how to deal with new challenges in the risk management field.
Why choose the Quantitative Risk Management track?
- You can tailor the programme to your interests and ambitions, with 2 track-specific courses and electives.
- You will be lectured by professors and professionals working in the industry. You will learn all about today's techniques, theories and insights in the risk management field.
- After graduation, you will have a solid preparation to become a highly sought-after (quantitative) risk management professional at e.g. insurance companies, regulatory authorities or ministries.
Hi, I'm Alexander! I'm a Master’s student in Actuarial Science and Mathematical Finance from South Africa. Got questions about this Master's or studying at the UvA? Get in touch!Chat with Alexander
Track-specific courses and electives
Apart from the 6 general courses of the full programme, you will follow 2 track-specific courses and electives.
If you want to meet the requirements for admission to the post-Master's Actuarial Practice Cycle, you will also need to take the Actuarial Science and Mathematical Finance Honours programme.
Banking Risk Management
In the 1st part of this course you will learn the basic principles and requirements governing banking regulation and supervision, aimed at safeguarding stable banks. We will analyse the risks as well as the remedies that were drawn up for bank risk management. You will also explore the changing structure of the broader financial system. The 2nd part of this course treats quantitative models for (portfolio) credit and liquidity risk management at an advanced level.
This course covers the following topics: linear time series analysis, volatility models, value at risk, VAR models and cointegration, multivariate volatility and correlation models and high-frequency data and realised variance. These topics are applied to empirical data using Python and R.
Apart from the general and track-specific courses, we offer you a selection of electives to choose from:
- Actuarial Science of Pensions and Ageing
- Advanced mathematics and Economics of Risk
- Experimental Economics
- Financial Institutions and Banking
- Retirement Savings and Investment Decisions
Brexit, the trade war between the US and China, climate and energy transition risks, household debts, cyber threats, and low interest rates put a constant pressure on the performance of banks, insurance companies and pension funds. Add the ever growing, complex and interconnected financial system, and the need for adequate regulatory policies and risk management practices is larger than ever. Describe how the financial system works and why a well-functioning financial system is important for economic welfare. Explain the main sources of systemic risk in the financial sector and give advice on financial sector policies to enhance financial stability. These topics are important for regulatory bodies such as the Dutch Central Bank (DNB) and the European Central Bank (ECB), as well as risk departments within banks, pension funds, and insurance companies.
Examples of real-life business cases and company projects you will discuss:
- Financial data. What is an accurate way of modelling financial times series data?
- Capital Buffers. How should capital buffers of banks be determined such that the probability of another financial crisis is minimised?
- Regulation. What issues do banks face when implementing the new bank regulation?
Students from the ASE are open-minded and friendly. We are encouraged to develop critical thinking and a cooperative mindset.Jingde Guo Read Jing's full review
Graduates of the Master's programme in Actuarial Science and Mathematical Finance/Quantitative Risk Management track have excellent job prospects for positions at:
- all (big) firms in the actuarial and financial industry
- large investment and retail banks (ABN AMRO, ING)
- regulatory authorities (AFM, DNB)