
Corporations, Institutions & Teams
Upskill Your Workforce in AI, Quant, Risk & Compliance
Overview
The risk landscape is evolving faster than ever—AI governance, cyber risk, climate stress testing, trading book reforms, data governance, operational resilience, and supervisory expectations are reshaping how organisations operate.
RiskInfo Academy provides scalable, enterprise-ready training solutions that align talent development with regulatory and business priorities.

Ideal For Organisations That Need To Train

Risk & Compliance Teams
Deliver high-quality, consistent education that meets your regulatory requirements and aligns with your established frameworks.

Model Risk & AI Governance Groups
Provide in-depth training on both the technical aspects and governance frameworks for teams responsible for managing AI/ML systems.

Technology, Engineering & Data Teams
Risk-focused training that helps technical teams understand financial, regulatory, and supervisory context.

Quant, Treasury & Trading Teams
Training on market risk, FRTB, derivatives, valuation adjustments, and analytics.

Operational & Cyber Resilience Teams
Skills for mapping critical processes, scenario testing, and defending against digital threats.

AI & Model Risk Associates
Understand how machine learning models operate and how organisations govern, validate, and monitor them.

What Corporations Gain
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Tailored programs aligned to internal policies, metrics, and frameworks
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Scalable training for teams across locations
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Hands-on workshops, case studies, and simulation-based learning
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Dedicated reporting, tracking, and completion insights
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Optional co-branded certifications for teams
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Continuous learning through access to updated AI, risk, and regulatory insights from RiskInfo.ai

Corporate Training for Risk, AI & Finance Teams!
Tailored programs are offered for banks, insurers, fintech companies, AI scale-ups, and regulatory bodies. These programs are designed to equip teams with the knowledge to manage and anticipate changes in AI, regulatory compliance, and market risks.
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Risk Functions: Market, Credit, Counterparty/XVA, Enterprise/Operational, Climate/ESG, Model Risk
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Finance & Treasury: ALM, IRRBB, liquidity, capital management
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Quant & Analytics: Pricing, risk modelling, validation, data science
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Technology & Cyber: Tech risk, cyber, cloud/third‑party risk, data governance
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Compliance, Audit & Policy: Regulatory change, risk governance, reporting
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Leadership: Board and senior management briefings on AI risk, resilience and regulatory priorities
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Courses designed and delivered by experienced risk, quant, AI, and compliance professionals.
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Content aligned to leading frameworks (e.g., Basel, FRTB, IRRBB, model risk guidance, AI governance expectations, TCFD/ISSB) and updated regularly.
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Begin with targeted workshops, then expand to comprehensive, multi-module certificate tracks and continuous subscription offerings.
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Programs mapped to roles: analyst, modeller, validator, risk manager, CRO staff, and board.
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By integrating your policies, datasets, and case studies, we ensure the learning is directly applicable.
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Clear skill development is evidenced through assessments, capstones, and manager feedback.
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AI, Model Risk & Responsible AI
Model lifecycle, governance, documentation, explainability, fairness/bias, monitoring, and validation practices for ML/GenAI; emerging supervisory expectations. -
Quant & Market Risk
Derivatives and sensitivities, VaR/ES, backtesting, stress testing, FRTB (IMA vs SBA), liquidity risk, PnL attribution; IRRBB, ALM, XVA fundamentals. -
Credit & Counterparty Risk
PD/LGD/EAD, scorecards and calibration, CCR (EPE/PFE), wrong‑way risk, CVA basics, IFRS 9 and stress testing; portfolio concentration analytics. -
Enterprise, Operational & Cyber Risk
Risk taxonomy, appetite, RCSA, KRI design, operational resilience, incident/crisis management, cloud and third‑party risk, cyber governance. -
Climate, ESG & Sustainability
Physical/transition risk channels, NGFS scenarios, climate risk modelling concepts, TCFD/ISSB disclosures, integration into credit/market frameworks. -
Regulation, Compliance & Supervisory Expectations
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Basel capital/liquidity, trading book reform, model risk expectations, AI & data governance themes, reporting, and governance practices.
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Team Cohorts (4–8+ weeks)
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Targeted Workshops (½–2 days)
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Executive Briefings (60–120 mins)
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Bootcamps (1–3 weeks)
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Blended & Self‑Paced
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Academy Subscriptions
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