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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2iig181.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gra\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Alliance\">GRA<\/abbr> \u00b7 Actuarial and Quantitative Risk<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><p class=\"nx-scene-accent nx-es-sig\"><strong>Spatial finance<\/strong><span>Where capital meets hazard, exposure and transition<\/span><\/p><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">STEM foundation of Actuarial and Quantitative Risk<\/h1><p class=\"nx-scene-lede\">The science, technology, engineering and mathematics Actuarial and Quantitative Risk rests on. Each method has a canonical page in the STEM Commons, hosted by the Global Centre for Risk and Innovation (GCRI), and a page here on how it is applied in this field.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\">Open Actuarial mathematics at Actuarial and Quantitative Risk <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\">Back to Actuarial and Quantitative Risk<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Six pages under STEM foundation of Actuarial and Quantitative Risk.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"ledger\"><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"ledger\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Actuarial and Quantitative Risk<\/strong><\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Actuarial mathematics at Actuarial and Quantitative Risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/extreme-value\/\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Extreme value theory and tail risk for actuarial and quantitative risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/probability-statistics\/\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Probability and statistics for actuarial and quantitative risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Uncertainty quantification and model validation for actuarial and quantitative risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/financial-engineering\/\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Financial and risk engineering for actuarial and quantitative risk<\/span><\/a><\/li><li><a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/computing\/\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">High-performance, cloud and edge computing for actuarial and quantitative risk<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"project\" aria-label=\"Methods, Methods, Why it matters\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Methods, Methods, Why it matters\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-methods\" aria-selected=\"true\" data-key=\"p1\">Methods<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-pg-nx-gra-a-p11-st\" aria-selected=\"false\" data-key=\"p2\">Methods<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-why-it-matters\" aria-selected=\"false\" data-key=\"p3\">Why it matters<\/button><\/div><section id=\"nx-sec-methods\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The methods behind the field.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Reserving with development triangles \u00b7 Premium build-up \u00b7 Annuity valuation<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Actuarial and Quantitative Risk<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/actuarial-math\/\" aria-label=\"Canonical \u00b7 STEM Commons: Actuarial mathematics\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Excess layer pricing \u00b7 Tail capital measures \u00b7 Non-stationary hazard extremes<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Reinsurance and Catastrophe<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/extreme-value\/\" aria-label=\"Canonical \u00b7 STEM Commons: Extreme value theory and tail risk\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Generalised linear models in pricing \u00b7 Bayesian credibility \u00b7 Goodness-of-fit testing<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Canonical \u00b7 STEM Commons: Probability and statistics\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Reserve ranges \u00b7 Parameter and model uncertainty \u00b7 Sensitivity ranking<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Systems Science and Modelling<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Canonical \u00b7 STEM Commons: Uncertainty quantification and model validation\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/financial-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial and risk engineering<\/span><span class=\"nx-mledger-role\">Valuing embedded guarantees \u00b7 Economic scenario generators \u00b7 Risk transfer structures<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Actuarial and Quantitative Risk<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/engineering\/financial-engineering\/\" aria-label=\"Canonical \u00b7 STEM Commons: Financial and risk engineering\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">06<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Monte Carlo simulation \u00b7 Version control and reproducibility \u00b7 End-user computing controls<\/span><span class=\"nx-mledger-meta\">Steward \u00b7 Data and Compute<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"Canonical \u00b7 STEM Commons: High-performance, cloud and edge computing\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-a-p11-st\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"inset\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The STEM methods Actuarial<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">The STEM methods Actuarial and Quantitative Risk applies, and why.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><ul class=\"nx-dir\" data-cols=\"2\" aria-label=\"Method\"><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\"><span class=\"nx-dir-name\">Actuarial mathematics<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Actuarial mathematics turns experience, exposure and assumptions into premiums, reserves and capital.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/extreme-value\/\"><span class=\"nx-dir-name\">Extreme value theory for actuaries<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Extreme value theory models the tails of loss and hazard distributions.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/probability-statistics\/\"><span class=\"nx-dir-name\">Statistics for actuarial modelling<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Probability and statistics provide the language of quantitative risk: distributions, estimation, dependence, testing and uncertainty.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-dir-name\">Uncertainty in actuarial estimates<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Uncertainty quantification identifies and propagates uncertainty in data, parameters, model structure and assumptions.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/financial-engineering\/\"><span class=\"nx-dir-name\">Financial engineering for insurers<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Financial engineering values and structures instruments whose payoffs depend on risk.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-dir-row\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/computing\/\"><span class=\"nx-dir-name\">Computing for quantitative risk<\/span><span class=\"nx-dir-fact\"><span class=\"nx-dir-k\">Role in Actuarial and Quantitative Risk<\/span><span class=\"nx-dir-v\">Computing makes quantitative risk work possible and introduces its own risks.<\/span><\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><p class=\"nx-p\">Each Actuarial and Quantitative Risk method is described once in the STEM Commons at GCRI and applied here to quantitative risk methods.<\/p><\/div><\/div><\/section><section id=\"nx-sec-why-it-matters\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Why it matters<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Grounding makes claims checkable.<\/h2><p class=\"nx-lede\">When a finding names the methods it depends on, a reader can see its assumptions and limits, and an expert in that method can challenge it.<\/p><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"finance\" aria-label=\"Sources, Pages, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Sources, Pages, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"true\" data-key=\"p1\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-s-6-sec\" aria-selected=\"false\" data-key=\"p2\">Pages<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-s-7-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/eur-lex.europa.eu\/eli\/dir\/2009\/138\/oj\"><span>Solvency II Directive 2009\/138\/EC as amended by the 2025 review (apply from 30 January 2027)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.iais.org\/activities-topics\/standard-setting\/icps-and-comframe\/\"><span>IAIS Insurance Core Principles and ComFrame, including the Insurance Capital Standard (adopted December 2024)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.federalreserve.gov\/supervisionreg\/srletters.htm\"><span>US interagency revised guidance on model risk management, SR 26-2 (April 2026), superseding SR 11-7<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-6-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Pages in STEM foundation of Actuarial and Quantitative Risk.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Actuarial mathematics at Actuarial and Quantitative Risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/extreme-value\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Extreme value theory and tail risk for actuarial and quantitative risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/probability-statistics\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Probability and statistics for actuarial and quantitative risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Uncertainty quantification and model validation for actuarial and quantitative risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/financial-engineering\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">Financial and risk engineering for actuarial and quantitative risk<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/computing\/\"><span class=\"nx-eyebrow\">Method<\/span><h3 class=\"nx-h4 nx-mt-2\">High-performance, cloud and edge computing for actuarial and quantitative risk<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a steward platform?<\/summary><div class=\"nx-answer\">The platform that maintains the canonical description of a method and reviews how it is applied across the Consortium.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. 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A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-iskalliance-com-actuarial-quantitative-risk-stem-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-iskalliance-com-actuarial-quantitative-risk-stem-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-iskalliance-com-actuarial-quantitative-risk-stem-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/standards\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Nexus Standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/actuarial-science\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Actuarial science<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/finance\/financial-and-economic-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Financial and economic risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-8\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Actuarial and Quantitative Risk<\/span><h2 id=\"nx-close-8\" class=\"nx-section-title\">Bring an exposure or capital question to the Alliance.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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