{"product_id":"probability-models-and-risk-management-for-actuaries-with-python-a-code-first-guide-to-insurance-risk-capital-and-decision-making-9798264066801","title":"Probability Models and Risk Management for Actuaries With Python: A Code-First Guide to Insurance Risk, Capital, and Decision-Making","description":"\u003cp\u003e • Author(s): Grant Richman\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Insurance - Risk Assessment \u0026amp; Management\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBuild actuarial-grade probability models and risk management workflows-end to end, in Python\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eTurn deep actuarial theory into real, working models. This comprehensive, code-driven reference takes you from probability foundations through solvency capital, with a laser focus on practical implementation. Each of the 33 dense chapters follows the same high-impact flow: rigorous theory → exam-style multiple-choice questions → complete, runnable Python demonstrations for real insurance problems.\u003c\/p\u003e\u003cp\u003eWhether you price risks, set reserves, allocate capital, or build internal models, this book shows you exactly how to do it-step by step, with reproducible code and clear actuarial reasoning.\u003c\/p\u003eWhy you'll love it\u003cul\u003e\n\u003cli\u003eTight, no-fluff structure: theory you can trust, checks for understanding, and full Python implementations in every chapter\u003c\/li\u003e\n\u003cli\u003eDesigned for working actuaries and advanced students: life, P\u0026amp;C, and ERM applications throughout\u003c\/li\u003e\n\u003cli\u003eBuilt for production: methods scale from classroom to capital planning, with robust diagnostics and validation\u003c\/li\u003e\n\u003c\/ul\u003eWhat you'll master\u003cul\u003e\n\u003cli\u003eProbability and statistical foundations: transforms, convergence, asymptotics, change of measure\u003c\/li\u003e\n\u003cli\u003eInsurance severity and frequency modeling: Pareto\/GB2\/Weibull, Poisson\/NB\/zero-inflation, GLMs, Tweedie, GLMMs\u003c\/li\u003e\n\u003cli\u003eDependence and tail risk: copulas (elliptical\/Archimedean\/vine), common-shock, multivariate EVT, GEV\/GPD\u003c\/li\u003e\n\u003cli\u003eAggregate risk and computation: compound models, Panjer recursion, De Pril, FFT, saddlepoint, importance sampling\u003c\/li\u003e\n\u003cli\u003eBayesian and credibility methods: hierarchical models, MCMC, empirical Bayes, experience rating\u003c\/li\u003e\n\u003cli\u003eTime series and processes: NHPP, renewal, Hawkes, INAR\/INGARCH, volatility modeling\u003c\/li\u003e\n\u003cli\u003eReserving and development: chain ladder, Mack, GLM reserving, bootstrap, IFRS 17 measurement\u003c\/li\u003e\n\u003cli\u003eLife contingencies and survival: hazards, frailty, multiple decrement, Thiele equations\u003c\/li\u003e\n\u003cli\u003eCapital and solvency: VaR\/TVaR\/expectiles, Euler allocation, Solvency II\/RBC, ORSA, model risk, stress testing\u003c\/li\u003e\n\u003cli\u003eALM and markets: stochastic interest and inflation, ESGs, reinsurance optimization, ruin theory\u003c\/li\u003e\n\u003c\/ul\u003eCode you can run\u003cul\u003e\n\u003cli\u003eClean, commented Python that implements estimation, simulation, and validation\u003c\/li\u003e\n\u003cli\u003ePractical toolchain with NumPy, SciPy, pandas, statsmodels, and visualization\u003c\/li\u003e\n\u003cli\u003eReproducible workflows for pricing, reserving, capital, and ERM analytics\u003c\/li\u003e\n\u003c\/ul\u003ePerfect for\u003cul\u003e\n\u003cli\u003ePracticing actuaries building pricing, reserving, or capital models\u003c\/li\u003e\n\u003cli\u003eERM and risk professionals responsible for aggregation and allocation\u003c\/li\u003e\n\u003cli\u003eQuantitative analysts and data scientists entering insurance\u003c\/li\u003e\n\u003cli\u003eGraduate-level actuarial and risk management courses\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eUpgrade your actuarial toolkit with reproducible, regulator-ready methods\u003c\/b\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46333033283735,"sku":"9798264066801","price":3401.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264066801.webp?v=1768668436","url":"https:\/\/atlanticbooks.com\/products\/probability-models-and-risk-management-for-actuaries-with-python-a-code-first-guide-to-insurance-risk-capital-and-decision-making-9798264066801","provider":"Atlantic Books","version":"1.0","type":"link"}