World Business StrategiesServing the Global Financial Community since 2000

Conference Sponsors

Riskfuel

AI technology is progressing quickly and has put real-time risk management of derivatives books within reach. Underpinned by sophisticated models requiring intense computations, the opportunities are centred on real-time portfolio analysis – on trading, exposure monitoring and capital utilization.

Riskfuel is collaborating with Microsoft and Nvidia to develop new low-cost, low-computation AI tools for the job.  We would be happy to send you further details, arrange a demo, or to have a short, informal and friendly call to exchange ideas with you.

Microsoft Azure Blog: Azure GPUs with Riskfuel’s technology offer 20 million times faster valuation of derivatives

www.riskfuel.com

Contacts: Ryan Ferguson: rf@riskfuel.com | Gary Wong: gw@riskfuel.com

Graphcore has created a completely new processor, the Intelligence Processing Unit (IPU), specifically designed for machine intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.

We believe our IPU technology will become the worldwide standard for machine intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors, whether you are a medical researcher, roboticist or autonomous car manufacturer.

www.graphcore.ai

CompatibL is a leading provider of risk management software, model validation and quantitative consultancy services. The company’s award-winning cloud and on-premises software solution is used by financial institutions worldwide, including four major derivatives dealers, central banks and some of the world’s largest asset managers.

Our quantitative research program produced multiple innovations in models and numerical methods for counterparty credit risk, settlement risk, risk premia in the yield curve, and has been recognized by multiple awards.

www.compatibl.com

Contacts:

Elena Ovsianko: elenao@compatibl.com

Both through regulation and industry practice, there is an increasing number of risk calculations that need to be done on a regular basis. These calculations require the valuation of portfolios on up to hundredths of thousands of scenarios making them computationally very expensive in time and cost.

MoCaX technology, based on Chebyshev Spectral Decomposition methods, is a methodology and software application which massively reduces the computational burden in a risk calculation. This is achieved by pricing the portfolio on very small number of pre-defined collection of points yielding an object capable of approximating a pricing function and its greeks to a very high degree of accuracy. The object can then be evaluated on thousands of risk scenarios in an ultra-efficient and numerically stable manner.

Several benefits are obtained with this technology. Applications include Market Risk VaR, IMA-FRTB,  Dynamic Initial Margin for MVA and IMM, Exposure profiles for CVA and IMM, what-if analysis tools, etc.

mocaxintelligence.com | i.ruiz@iruiztechnologies.com

The Numerical Algorithms Group (NAG) are experts in numerical algorithms, software engineering and high-performance computing. They have served the finance industry with numerical software and consulting services for over four decades because of their outstanding product quality and technical support. Specifically, relevant to the finance industry, NAG pioneer in the provision of the NAG Library – numerical, machine learning and statistical components ideal for building Quant Libraries, Risk Applications and the like.

NAG also provides best-in-class C++ operator-overloading AD tools for CPU and GPU called dco (derivative computation through overloading) and dco/map (dco meta adjoint programming). The NAG Library and AD tools are used by many of the largest Investment Banks where they are embedded in Quant Libraries and XVA applications. As a not-for-profit company, NAG reinvests surpluses into the research and development of its products, services, staff and its collaborations. www.nag.com

Yields.io is the first FinTech platform that uses AI for real-time model risk management on an enterprise-wide scale.

Our clients use our solution to speed up model validation tasks, to generate regulatory compliant documentation and to industrialize model monitoring. The platform works with all models that are used within the financial sector such as credit risk models, valuation algorithms, market risk, AML, AI and behavioural models.

Yields.io was founded by Jos Gheerardyn and Sébastien Viguié. The company is expanding quickly and has offices in Brussels and London. Yields.io has an international portfolio of clients with both investment banks as well as regional financial institutions.

yields.io

FIS Adaptiv provides solutions for enterprise-wide risk management solutions, spanning trade capture to operations management. Adaptiv Analytics is a state-of-the-art calculation engine that offers marketleading performance for market risk, counterparty credit risk, and regulatory calculations. AAD-enabled Analytics software is the latest exciting development from FIS Adaptiv. This will add to the suite of performant technologies upon which Analytics is built, which includes vectorization and GPU support, and will enable real-time calculation of exact XVA sensitivities for effective risk reporting, credit limit monitoring, and position management.

Through the depth and breadth of our solutions portfolio, global capabilities and domain expertise, FIS serves more than 20,000 clients in over 130 countries. Headquartered in Jacksonville, Fla., FIS employs more than 55,000 people worldwide and holds leadership positions in enterprise risk management, payment processing, financial software and banking solutions. Providing software, services and outsourcing of the technology that empowers the financial world, FIS is a Fortune 500 company and is a member of Standard & Poor’s 500© Index.

www.fisglobal.com/en-gb

Welcome to Section 810 Communications

One of the comments I hear frequently from business professionals is that they want to improve their communication skills. Often the comment comes from leaders who want to become more effective in their leadership. Other times it comes from those who are asked to speak publicly or make presentations. Sales leaders also want to know how their teams can be more effective in connecting with and influencing customers.

Section 810 Communications was founded with the goal of helping individuals increase their level of influence through improved communication. When we connect with others, our level of influence naturally rises. The workshops and training sessions we offer are all designed with this goal. Many sessions leverage the DISC personality assessment tool to help understand people’s inherent strengths and communication styles.

Here’s to YOUR success: We hope to support you on the journey!

Jeff Scott
Founder and CEO
Section 810 Communications, LLC
section810.com

Fincirpator is a website dedicated to math finance and machine learning. Joerg Kienitz is a quant finance professional with about 20 years of experience. He is currently partner at Quaternion Risk Management. Joerg lectures at University of Cape Town and Wuppertal.

For financial professionals he has conducted several educational but practical relevant courses on many topics from quantitative finance including:

  • Monte Carlo simulation
  • Interest Rate derivatives
  • Volatility modelling
  • Numerical methods
  • Exposure generation

With regards to machine learning we ran several workshops on:

  • Introduction to the concepts of ML
  • Deep learning with applications to quant finance as well as giving lectures on the mathematics for machine learning and statistical learning theory.

At the University of Wuppertal he is setting up a QuantLab ML. The aim of this initiative is to combine methods from quantitative finance and machine learning.

finciraptor.de

Contact:   joerg.kienitz@finciraptor.de or joerg.kienitz@math.uni-wuppertal.de

The Machine Learning Institute Certificate in Finance (MLI) is a comprehensive six-month part-time course, with weekly live lectures in London or globally online. The MLI is comprised of 2 levels, 6 modules, 25 lecture weeks, lab assignments, a practical final project and a final sit down examination using our global network of examination centres.

This course has been designed to empower individuals who work in or are seeking a career in machine learning in finance. Throughout our unique MLI programme, candidates work with hands-on assignments designed to illustrate the algorithms studied and to experience first-hand the practical challenges involved in the design and successful implementation of machine learning models. The MLI is a career-enhancing professional qualification, that can be taken worldwide.