The MSc in Quantitative Finance develops sophisticated statistical, programming and economic skills for roles in areas such as quantitative asset management and risk management.
The MSc in Quantitative Finance will equip you with a rigorous understanding of the theory behind asset pricing, fixed income securities and risk management, supported by solid knowledge of numerical analysis and programming languages; special emphasis is on econometric techniques as forecasting and market microstructure analysis.
Typical career paths of graduates from our MSc in Quantitative Finance include research positions (in both financial and academic institutions), or roles involving the assessment of market microstructure across a number of exchanges, stress testing/scenario analysis, development and improvements of asset allocation models and analysis of potential investment vehicles across different asset classes, such as Hedge Funds Risk Analyst, Financial Analyst and Asset Allocation Analyst.
The demand for recruits with strong quantitative skills has spread beyond the pure derivatives area, and graduates from the course move into a range of careers in the financial sector. Cass's proximity to the City of London helps graduates to access outstanding career opportunities, especially as Cass has close links with many City institutions.
There are two Induction Weeks The Quantitative Finance course starts with two compulsory induction weeks, focused on:
• an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.
• a reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.
To satisfy the requirements of the degree programme students must complete:
• eight core courses (15 credits each) and • two additional core modules plus three electives (10 credits each) or • three electives (10 credits each) and an Applied Research Project (20 credits) or • one elective (10 credits) and a Business Research Project (40 credits)
Assessment of modules on the MSc in Quantitative Finance, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.
Although investment and hedge funds remain the biggest users and innovators in quantitative finance, other financial sectors such as commercial banking, insurance and fund management are now keenly interested. Fund managers and hedge funds, for example, make extensive use of quantitative techniques to develop trading strategies, optimise portfolios and assess risk.
Some examples of where graduates from the MSc in Quantitative Finance class of 2014 are working are: