• Trading vs Betting
• Quant Framework
• Strategies
• Machine Learning
• A real-life case to simulate the difference between betting and sport trading

Quant methods transform uncertainty into disciplined trading. Strategies like Arbitrage, Value, Scalping, and Hedging provide a playbook. Machine Learning and data-driven models enhance accuracy and calibration. Case studies show adaptability across football and tennis. Success = discipline, bankroll management, and reacting to volatility.

• Project Overview
• VIDEO - An introduction to what sport trading is: https://drive.google.com/file/d/1K-JNGcg0K0w4-vAA8QEEWiQi1LvvjzFY/view
• Website: https://www.sport-trading.life/

WBS Training: Quant Finance Meet Up

Neil Clive Fowler

Itisha

laiajuarros99

Alessandro Muci

Alejandro

Michael R.

Saikiran Vanamala

tjasagorse123

Sports Trading Playbook: A Quantitative Framework for Smarter Trading

Online event

**The FRTB Playbook: From Regulation to Go-Live**

Course Overview - Many jurisdictions have gone live with the Fundamental Review of the Trading Book (FRTB) in 2024 and 2025, with the US, Europe and the UK expected to follow in 2027 or 2028. This comprehensive workshop addresses all aspects of the framework, progressing from the regulatory objectives, through the properties and behaviour of the new risk measures, to organisational, operating model and implementation challenges.

Learning Outcomes - By the end of the program, participants will:

Participants will explore the calculation of both standardised and internal model risk measures, as well as total capital requirements, using Python/Jupyter notebooks. While basic programming skills in Python or Matlab are of advantage, the workshop provides guided examples and exercises that can be followed even with limited coding experience. They will also use ChatGPT for analysing the regulation. To avoid firewall restrictions, we recommend using a personal computer with direct connection to the internet.

[https://btrm.org/events/the-frtb-playbook-from-regulation-to-go-live/](https://btrm.org/events/the-frtb-playbook-from-regulation-to-go-live/)

The FRTB Playbook: From Regulation to Go-Live: Information Session

**Target Audience**: Banking Professionals ( Sustainability teams, Climate Related Financial Risk management teams, Credit Risk, Portfolio Management, Treasury, Finance and Compliance)

**Duration**: 60 Minutes

The Webinar will explore the various facets of climate change risk management within a banking context, including climate data and disclosures management, measurement aspects and the impact of climate change on bank’s books. The key frameworks for Climate Related Financial Risk Management, and importantly the manifestation of risk categories viz Physical, Transition and Liability risks; their interconnectedness and how they affect the entirety of the risk universe of Banks including Credit, Market, Liquidity and Reputational risks.

**Key topics**

* Key drivers and impact of Climate Change on Banking business
* Materiality themes – Single (Financial Materiality Outward- in) and Double Materiality ( Financial + Impact Materiality (Inward -out))
* Data Sources & Types: Different types of data classes that banks need to manage Climate Related Financial Risks
* Important metrics - for measuring climate risk like stress test scenarios vulnerability scores…
* Key Regulatory Frameworks and Disclosure requirements
* Interlinks and impact on other traditional risk categories of Banks

**Banks’ Climate Change Risk Management Certification (CCRM)**

**Course Goal:** “This intensive, interactive 9-week certification program is a uniquely practitioner-driven initiative designed to elevate banking professionals to a leadership role in climate-related financial risk management. Participants will develop a clear understanding of the interconnectedness of climate risk components, enabling them to strategically design, implement, report, and manage these risks in their operations. The program’s focus extends beyond compliance and tactical execution, emphasizing a proactive, business-centric approach to integrate climate risk into strategic decision-making, enhancing performance, meeting evolving regulatory demands, and fulfilling stakeholder expectations.”
**Key Features:**

* An application-oriented Certification Program designed for Practitioners.
* Focus on translating theoretical concepts into actionable strategies to effectively manage the complete life cycle of Climate Change Risk Management.
* Industry leading Curriculum: Developed with deep and real world insights into the complex universe of Climate Related Financial Risks with hands on experience as well as focused interactions with leading banking industry experts and climate finance thought leaders.
* “Practitioner’s Perspectives” Capsules: Unique, short-format insights delivered by senior banking practitioners and industry leaders, providing real-world context and best practices.
* Real Life interactive Exercises and group activity : As part of the curriculum, participants will work, collaborate, analyze and respond to climate-related financial risk requirements.
* Skills Developed: All the way from climate data management to disclosures and regulatory compliance, design an actionable operating framework for effective and strategic management of climate related financial risks.

**Learning Outcomes** \- Upon completion of this certification program\, participants will be able to:

* Understand the climate data universe as applicable to banks
* Identify and assess climate-related financial risks across asset classes.
* Develop and implement climate risk management strategies aligned with organizational goals.
* Navigate evolving landscapes (Both Disclosure standards & regulatory asks) related to climate change risk reporting

**[https://btrm.org/events/banks-climate-change-risk-management-certification-ccrm/](https://btrm.org/events/banks-climate-change-risk-management-certification-ccrm/ "https://btrm.org/events/banks-climate-change-risk-management-certification-ccrm/")**

Peter Hopkinson

Decoding Climate Change Risk Management: A Banking Perspective

What is covered in this AIFI webinar?

\- Introduction from Geoff Brown\, WBS Training\, Global Head of Business Development\.
\- Ai Agents in Finance Certificate & Artificial Intelligence in Finance Certificate \- Information Session presented by Head of AIFI Faculty: Dr Miquel Noguer i Alonso
\- Followed by a Q&A

AI Agents in Finance Certificate

About the programme - We are thrilled to share the launch of the AI Agents in Finance Certificate, a hands-on, 21-hour program designed for finance professionals and Python enthusiasts who want to champion the next wave of intelligent automation in our industry. Here’s why you won’t want to miss it:

🔍 What You’ll Learn

\- Design\, orchestrate and govern autonomous LLM agents for trading\, risk management\, fraud detection and personalized advisory\.
\- Integrate orchestration frameworks \(OpenAI Responses SDK\, AutoGen\, CrewAI\, LangChain\) with RL\-tool libraries \(ARTIST\, ReCall\, verl\)\.
\- Build multi\-agent “crews” that plan\, code\, self\-correct and evaluate performance using AgentBench benchmarks and tail\-risk metrics\.
\- Labs include: SEC\-filing analysis committees\, VaR repair\-bots\, streaming \- RAG pipelines\, four\-agent prop\-desk crews and more\!

This intensive, hands-on course explores cutting-edge Large-Language-Model (LLM) Agents-and their hybridisation with reinforcement learning-in the financial domain. Students design, orchestrate, interpret and govern agentic systems for algorithmic trading, fraud detection, risk management and personalised advisory. Every session features sub- stantial coding labs using production frameworks (OpenAI Responses SDK, AutoGen, CrewAI, LlamaIndex, LangChain) alongside emerging RL– tool-use libraries (ARTIST, ReCall, verl).

https://www.wbstraining.com/events/ai-agents-in-finance-certificate/

Artificial Intelligence in Finance Certificate

The AIFI Certificate covers the theory, implementation and use of Artificial Intelligence models in finance. Participants will learn the mathematical and statistical aspects of the modern quantitative analysis modeling. We will see machine learning models theory and practical implementations. We will provide AI python code and extensive materials.

Taught by a diverse staff of world leading academics and practitioners, the AIFI courses teach both the theory and practical implementation of artificial intelligence and machine learning tools in investment management. As part of the program, students will learn the mathematical and statistical theories behind modern quantitative artificial intelligence modeling. Our goal is to train investment professionals in how to use the new wave of computer driven tools and techniques that are rapidly transforming investment management, risk management and capital markets.

https://www.wbstraining.com/events/aifi/

Genevieve

Secil Ozgur Mennell

Shaurya Singh

Mohd Hasan

Ai Agents in Finance Certificate - Information Session

Groupes

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WBS Training: Quant Finance Meet Up

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