Training & Certifications

Learn Risk the Modern Way: AI, Quant & Markets in One Place

Overview

Risk management is changing faster than ever. AI and machine learning are reshaping decision-making, global regulations are tightening, and risk teams are expected to operate with more precision, agility, and technical depth.

RiskInfo Academy is designed to keep professionals, students, and organizations competitive and future-ready. Our training blends hands-on learning, industry-relevant insights, regulatory context, and practical case studies sourced from the experts and contributors who power RiskInfo.ai. You learn not only what the rules say — but how risk is actually managed in high-stakes environments.

Why learn with RiskInfo?

Built at the intersection of AI & Risk

Tie into your existing AI & Risk content: AI governance, MAS AI MRM, EU AI Act, FRTB, climate risk, etc.

Practitioner‑led and insight‑driven

Many of our articles are written by senior practitioners and risk leaders – emphasizing those voices that teach or curate the content.

Modular, stackable learning

Short courses and micro‑credentials that stack into larger certificate tracks, but with a strong AI/reg‑tech focus.

Connected to a live community and jobs

The platform seamlessly integrates courses with our community forum and job board, enabling learners to move beyond studying to discuss, network, and secure roles all within the same environment.

Who This Is For

Learning Designed for Every Stage of the Risk Career Journey

Whether you’re a working professional looking to deepen your expertise, a student aspiring to enter the world of risk and quantitative finance, or an organisation seeking industry-relevant upskilling for large teams, RiskInfo Academy offers structured, practical, and industry-aligned learning experiences for you.

Our programs are uniquely positioned to address the evolving financial and risk landscape by integrating AI, risk management, quantitative finance, regulation, and emerging technologies.

For Professionals

Build Deep Expertise in Modern Risk Domains

For Students & Early-Career Professionals

Launch Your Career in Risk, Quant, or AI-Driven Finance

For Corporations, Institutions & Teams

Upskill Your Workforce in AI, Quant, Risk & Compliance

Quant & Market Risk Track

The Quant & Market Risk track is designed for learners.

Credit & Counterparty Risk Track

This track focuses on the practical tools and regulatory frameworks.

Enterprise, Operational & Cyber Risk Track

Operational and cyber risk sit at the heart of every financial institution.

AI, Model Risk & Responsible AI Track

The increasing influence of AI across industries has created a massive demand.

Climate, ESG & Sustainability Risk Track

The core focus of this track is on integrating climate and sustainability risks.

Regulation, Compliance & Supervisory Expectations Track

This track aims to give learners a solid understanding of regulatory regimes.

Explore Learning Tracks

Build skills across the most critical areas of modern risk management, quantitative finance, and AI governance.

Why consider a career in risk & AI?

Risk & AI sits at the heart of modern decision-making. Organizations rely on data and models to deliver safe, fair, and efficient services. Working in this field means solving complex, high-impact problems—such as testing AI models, detecting vulnerabilities, interpreting results, and shaping responsible policies. The skills you develop blend finance, analytics, and technology, making them rare and highly transferable across industries like banking, fintech, big tech, consulting, and even government regulators. With AI adoption and regulations rapidly expanding, these skills will only become more valuable, ensuring strong career demand and long-term growth.
They combine three in-demand domains:

Financial understanding: how risk impacts business decisions

Analytical capability: working with data, models, and quantitative methods

Technology awareness: understanding how AI systems behave and how to govern them
This combination is uncommon, future-proof, and opens doors to roles globally.
You can pursue roles in risk management, AI governance, model validation, quantitative analysis, credit/market risk, compliance, fraud analytics, and responsible AI. These roles exist in banks, fintechs, consulting firms, tech companies, and regulatory bodies.
Yes. You don’t need to be an expert in math or coding to start. A structured learning path—beginning with foundational risk and regulation concepts—helps newcomers slowly build confidence before moving into specializations.
Start with:
✔ Foundations of Risk & Regulation (Start Here)
Then choose one specialization based on your interests:

Quant & Market Risk Basics

AI for Risk Professionals

Credit Risk Basics
Yes, but with an important note: these modules provide helpful coverage of topics found in certifications like FRM Part I, PRM, RAI domains, or SCR.
They support your learning but are not substitutes for the official exam materials.
Absolutely. As AI expands and regulations tighten globally, organizations need professionals who understand both risk and technology. This ensures strong job security, meaningful work, and long-term career growth.