XVA management: a comprehensive overview
View AgendaKey reasons to attend
- Manage the challenges associated with regulatory changes to valuation adjustments (XVAs)
- Understand the execution of the funding valuation adjustment (FVA), margin valuation adjustment (MVA) and capital valuation adjustment (KVA)
- Explore the role of XVA trading desks and pricing implications
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About the course
This interactive virtual course explores the nuances of different XVAs and provides strategies for managing risks associated with each type.
With the course focusing on the overarching exploration of XVAs, participants will delve into the role of XVA trading desks, the impact of market volatility and the regulatory implications. Specific sessions are dedicated to addressing the challenges linked to the execution of KVA and MVA, as well as learning how to perform related calculations.
Participants will gain the tools needed to improve their XVA programmes by learning how to integrate machine learning into XVAs through the discussion of supervised learning and the architecture of regression.
Participants will gain practical insights into XVAs that will directly influence their business as usual.
What participants say:
“The course was very detailed and practical. Each of the speakers possess a high degree level of industry experience and provided robust guidance and responses to questions. Sessions covered all critical aspects of XVA Management in the real world and each session was very interactive. The additional knowledge gained from the class was instantaneously useful for me at work.”
“The detailed exploration of various XVAs and practical risk management strategies provided me with invaluable insights. Each session was rich with actionable knowledge that I can apply to enhance our XVA programs.”
“Comprehensive coverage of XVAs, interactive and practical sessions, knowledgeable tutors. I left the course with practical tools to improve our business operations.”
Pricing options*:
- Early-bird rate: save up to $800 per person by booking in advance
- 3-for-2 rate: save over $3,000 by booking a group of three attendees
- Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber
- Season tickets: cost-effective option for groups of 10 or more. Learn more
*T&Cs apply
Learning objectives
- Evaluate XVA in risk management
- Conduct impactful executions of FVA, MVA and KVA
- Calculate KVA and MVA
- Understand the roles, reach and placement of XVA desks
- Manage challenges associated with market volatility
- Apply the basics of machine learning to XVAs
Who should attend
Relevant departments may include but are not limited to:
- XVA risk
- XVA analyst
- XVA desk
- XVA trading
- Counterparty credit risk
- Quant modelling
- Treasury
Agenda
April 28–30, 2025
Live online. Timezones: Emea/Americas
Sessions:
- Underlying principles of XVA
- Risk management of XVA
- The role of XVA desks
- Execution of FVA and capital valuation adjustment (KVA)
- Execution of margin valuation adjustment (MVA)
- Machine learning for XVA: the deep relationship between derivatives valuation and machine learning
Tutors:
- Ravi Savur, Formerly managing director responsible for global market portfolio metrics including all products and trading desks and XVA globally, ex-Citigroup
- Connor Campbell-Coleman, Head of XVA, Lloyds Banking Group
- Stamatoula Matsoukis, Director and founder, Euclides Risk Solutions
- Osamu Tsuchiya, Quantitative analyst, MUFG, Quanteam UK
- Nikolai Nowaczyk, Quantitative analytics director, NatWest Group
October 28–30, 2025
Live online. Timezones: Emea/Americas
Sessions:
- Underlying principles of XVA
- Risk management of XVA
- The role of XVA desks
- Execution of FVA and capital valuation adjustment (KVA)
- Execution of margin valuation adjustment (MVA)
- Machine learning for XVA: the deep relationship between derivatives valuation and machine learning
Tutors

Ravi Savur
Former managing director
Ex-Citigroup
Ravi has over 20 years of experience and was the Managing Director at Citigroup. He has been responsible for Global Markets portfolio risk metrics, e.g., risk appetite and limit setting, stress testing/CCAR, model risk, valuation and profit attribution risk, across every asset class, and with significant regulator interaction. Ravi has very detailed knowledge from various roles including as Market Risk Manager for credit value adjustment (XVA), exotic and emerging market FX, interest rate and credit derivatives, and previously as Co-Head of Convergence Risk group (covering derivative products and underlying asset classes combining market and credit risk). He also has extensive derivatives product knowledge and business focus gained while front office desk head structuring and selling exotic FX, interest rates and occasionally commodity products.

Connor Campbell-Coleman
Head of XVA, derivative capital and collateral management
Lloyds Banking Group
Connor has over 16 years of experience and is currently the Head of XVA, derivative capital and collateral management at Lloyds Banking Group. In his role, he leads his team in managing the credit/funding risks in the bank’s derivative profile, develops pricing and risk management methodologies and optimises existing and exisiting collateral agreements. He has also held roles such as head of portfolio management and director of ring fenced bank traded products.

Stamatoula Matsoukis
Director and founder
Euclides Risk Solutions
Stamatoula has long term experience and expertise in risk modelling, regulation, and XVAs, which she gained through comprehensive reviews and enhancements of risk frameworks with major global banks, including ECB, Deutsche Bank, Morgan Stanley, JP Morgan, UK Financial Services Authority and Standard Chartered Bank. She has extensive experience many many area of regulation and risk management including XVA, counterparty credit risk modelling, ICAAP, IFRS9, CCAR submission and model risk management.
She is director and founder of Euclides Risk Solutions, which aims to enhance financial stability through rigorous quantitative analytics and modeling, ensuring compliance with evolving regulatory standards.

Osamu Tsuchiya
Quantitative analyst
MUFG, Quanteam UK
Osamu has over 20 years of experience and is currently working as a quantitative analyst focusing on interest rate and hybrid derivatives modelling. He has developed a variety of pricing models including an XVA model based on cross currency Hull-White model, IBOR transition and SABR LMM with time dependent skew and smile. His specialties are XVA, interest rate derivatives modelling, machine learning techniques in derivatives valuation. and more.

Nikolai Nowaczyk
Quantitative analytics director
NatWest Group
Nikolai works with some of the largest investment banks in the world to develop and validate financial models that quantify risks in their derivative books. Core topics include valuation, counterparty credit risk (CCR), exposure simulation (EAD), collateral modeling, initial margin, ISDA SIMM and XVAs.
He likes to combine classical quant finance models such as Black-Scholes, Heston, SABR with novel data science and machine learning techniques such as Artificial Neural Networks (ANN), Multilayer Perceptrons (MLP), Long-Term-Short-Term-Memory Networks (LSTM), Anomaly Detection or Gaussian Process Regression. As this is a fast evolving field, Nikolai likes to build bridges between academia and business. His favorite programming languages are Python, C# and C++.
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