Spivak - Calculus.
Cartan - Théorie Élémentaire des Functions Analytiques dune ou Plusieurs Variables Complexes.
Remmert - Theory of Complex Functions.
Murty - A First Course in Graph Theory and Combinatorics.
Papoulis - Random Variables and Stochastic Processes.
Kijima - Stochastic Processes with Applications to Finance.
Klugman - Loss Models From Data to Decisions.
Taylor - An Introduction to Measure Theory and Integration.
Halmos - Measure Theory.
Billingsley - Probability and Measure.
Klenke - Probability Theory a Comprehensive Course.
Feller - An Introduction to Probability Theory and Its Applications.
Leadbetter - Extremes and Random Properties of Random Sequences and Processes.
Tirole - Game theory (1,2 and 3).
Devaney - An Introduction to Chaotic Dynamical Systems
Braun - Differential Equations and Their Applications.
Hirsch - Differential equations, Dynamical Systems, and Linear Algebra.
Hastie - The Elemens of Statistical Learning Data Mining, Inference, and Prediction.
Rudin - Functional Analysis.
Casella - Statistical Inference.
Hafner - Stochastic Implied Volatility.
Bayesian Statistics : An Introduction - Peter Lee
Introduction to Bayesian Econometrics - Edward Greenberg
Passarelli - Trading Option Greeks.
Hull - Options, Futures and Other Derivatives
Steven Blyth - Introduction to Quantitative Finance
Financial Calculus - Baxter
Applied Econometrics - Asteriou and Hall
Stochastic Calculus of Variations in Mathematical Finance - Malliavin and Thalmaier
Stochastic Calculus for Finance Parts I and II - Shreve
C++ for Financial Maths https://nms.kcl.ac.uk/john.armstrong/courses/courses.html