Course Organiser: Finacial Risk Hub

Market Risk (Finance)

In this course you will learn several key topics within finance and Market Risk, starting with the foundations, before moving on to intermediary and more advanced level subject matter. Prior knowledge or experience in Finance or Market Risk is not required.

The course is taught with an applied focus and students learn by doing, gaining practical experience: you will build risk engine components from scratch and gain experience implementing stress testing, back testing, simulation, pricing, scenarios generation, VaR/ES computation modules and more. You will also benefit from direct training on important banking regulations e.g. Fundamental Review of the Trading Book (FRTB).

By the end of the course, you will have the specialist knowledge required to work with traders, risk managers, quants, quant developers etc.

The Market Risk (Finance) course is not offered on a standalone basis. It is included in our Certificate in Finance Business Analysis (FinBA), and Coding (Python, SQL) in Finance training programs.

Python in Finance

Python in Finance is a unique, easy-to-follow course which requires no prior programming knowledge or experience. Designed to meet the enormous rise in demand for individuals with knowledge of Python in the financial industry, students are taught the practical coding skills now required in many roles.

The material contains multiple examples of practical applications in finance with a focus on quantitative risk/pricing analytics (taught in the Market Risk (Finance) course), giving you an opportunity for valuable practical experience. The course contents provide you with the must-have coding skills needed to excel in the modern finance sector. The course material has been developed in partnership with industry veteran and renowned practitioner, Dr Simon Clift.

After this course, candidates will possess the knowledge to write their own code from scratch in the Python programming language to, for example price options with the Black Scholes model, derive greeks, perform Monte Carlo simulation, generate an implied vol surface and many more (see course curriculum for additional details).

The Python programs developed by the student during the training program, and for the project completed at the end of the cohort (in the full program only) become an important part of the student’s portfolio. The portfolio is a valuable addition to a student’s CV/resume, and is a real asset that is evidence of the student’s practical experience and knowledge. This is particularly useful during a job search to set the student apart from other applicants.

The Python in Finance course is not offered on a standalone basis. It is included in our Certificate in Finance Business Analysis (FinBA), and Coding (Python, SQL) in Finance Certificate training programs.