Who is it for?
Access to the ARPM experience through different, interconnected channels enables a diverse audience to benefit from it.
A solid quantitative background from an undergraduate program in the hard sciences allows for full absorption of the materials. No finance or coding knowledge are necessary, as both are developed during the ARPM experience.
Professional and Academic Backgrounds
The following categories represent the ideal audience for the ARPM experience:
- risk managers and portfolio managers with an undergraduate degree in the hard sciences, who wish to learn the principles behind the recipes that they implement every day, and wish to access a comprehensive reference for the most advanced techniques in their field
- computer/data scientists, who desire to bridge to learn the financial applications of their skills
- derivative quants and quantitative actuaries, who wish to quickly switch from their field to a new one, leveraging the mathematical knowledge they already possess
- students (advanced undergraduates and master level) in quantitative finance and hard sciences
- academics in the hard sciences, who wish to learn and/or teach data science for finance, risk management and portfolio management in the concise, rigorous language to which they are accustomed.
Throughout the ARPM experience, intuition is supported by visualizations. Heuristic arguments are favored over mathematical rigor. The mathematical formalism is used up to, and not beyond, the point where it eases the comprehension of the subject.
However, users extract the most value from the ARPM experience if they have a hard science undergraduate degree, or working knowledge of the following:
- linear algebra: matrix/vector notation and manipulations, trace, determinant, eigenvectors, and eigenvalues
- multivariate calculus: derivatives, integrals, and Taylor expansions
- statistics: basic concepts of distributions, probability density function, and cumulative distribution function.
For users interested in brushing up their mathematics with a focus on applications, a Mathematics Refresher is available.
No coding experience is needed to fully benefit from the ARPM experience: coding skills can be, although need not be, acquired along the way, by working through the interactive code provided.
However, for users interested in learning to code or brushing up their coding skills, Coding Refreshers in the supported languages are available.
No knowledge of finance is necessary to benefit from the ARPM experience, although prior exposure to basic financial products would make the absorption of the materials faster.