Numerix
Numerix is the leading provider of innovative capital markets technology solutions and real-time intelligence capabilities for trading and risk management. Committed to out-of-the box thinking, the exploration and adoption of latest technologies, Numerix is dedicated to driving a more open, fintech-oriented, digital financial services market. Built upon a 20+ year analytical foundation of deep practical knowledge, experience and IT understanding, Numerix is uniquely positioned in the financial services ecosystem to help its users reimagine operations, modernise business processes and capture profitability.
Profitable decisions demand powerful insights. Numerix Oneview is our award-winning pricing and risk platform, providing holistic views of the entire derivatives business. Its intelligent front-to-risk capabilities are powered by the most comprehensive analytic library in over-the-counter derivatives and structured products. Designed for the evolution of the capital markets, Oneview was built for complex calculations, is scalable and cloud-ready – empowering unparalleled accuracy, enabling real-time calculations and unleashing dynamic custom reporting and analysis capabilities. Modern microservice architecture enables capital market use-case modules that expand on Oneview’s core valuation capabilities including: Oneview for Trading, Oneview for XVA, Oneview for Margin and Oneview for Market Risk.
Articles about Prometeia
Bank ALM system of the year: Prometeia
Reflecting the strength of Prometeia’s ALM platform and the firm’s alignment with the needs of modern risk and performance management
Prometeia’s LLM/GenAI validation framework
Prometeia’s LLM/GenAI validation framework: a method to validate generative AI models for financial applications
Increasing trust to artificial intelligence in finance: AI model validation framework
This paper highlights the risks of using AI in financial applications and provides significant motivations for having an AI validation framework to control and eliminate those risks
Machine learning and AI in model risk management: a quant perspective
Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy. By Tiziano Bellini, head of risk integration…
Counterparty credit risk: special report 2022
This Risk.net special report contains a collection of articles that consider the impact of SA-CCR and how banks are adapting to the new regime, as well as the challenges of managing counterparty credit risk and reducing the cost of trading over-the…
Project finance risk methodologies
Federico Tacchetto, senior manager at Prometeia, describes how to calculate risk parameters for project finance exposures. Based on a simulation approach of the cashflows, it is assessed whether the generated net revenue will be sufficient to repay the…
Hints on quantification approaches
Tiziano Bellini, head of risk integration competence line, international markets at Prometeia, examines the key components of successful model risk management, focusing on the importance of integration, processes, governance and IT solutions to…
As Covid snaps credit models, lenders turn to stress-testing
Banks enlist scenario analysis to bolster creaking default models
Lenders reveal struggles over IFRS 9 roll-out
Size of task caught some banks unawares, leading to botched home-grown systems or data problems
Leading the way in the risk management (r)evolution
Sponsored feature: Prometeia
Risk software survey 2015: speed, compliance and valuation
Regulatory change drives innovation, with valuation, centralisation and speed taking centre stage