In a highly regulated banking environment, collateral management and certification are critical processes to ensure compliance and reliability of financial operations. In this context, a leading investment bank launched initiatives to strengthen traceability of application processes and to industrialize delivery and control mechanisms associated with applications dedicated to collateral calculation and certification. To secure these processes, Avaliance contributed to structuring development practices, industrialization, and technical governance around the related applications.

In a highly regulated banking environment, collateral and Initial Margin management are critical for risk monitoring and compliance with financial market requirements. In this context, a leading investment bank launched the modernization of its application dedicated to monitoring and calculating initial margins, used by teams in charge of collateral activities. This initiative aims to support the transformation of the information system by progressively migrating the application to a new Cloud-based technological platform (MPT) hosted on Microsoft Azure, while ensuring operational continuity and the reliability of financial calculations. To support this transformation, Avaliance worked within the Collateral teams to maintain the existing solution and support the transition toward the new Cloud architecture.

As part of its IT transformation and in response to increasing regulatory requirements, the client initiated major upgrades to its applications dedicated to risk management and financial reporting. Two critical systems were involved: SCREAM, used to calculate risk indicators under Solvency II, and OLISFA, dedicated to financial reporting and the integration of processing scripts. To secure these evolutions and ensure the reliability of regulatory processes, the client relied on Avaliance to support technical developments, modernize deployment processes, and stabilize production environments.

The client, a major international banking group, initiated a program to strengthen compliance, automation, and observability of its critical system environments. These environments, based on Windows and Citrix platforms, require high levels of reliability, security, and operational control to ensure service continuity and compliance with regulatory requirements. To support this initiative, the client relies on Avaliance to modernize monitoring tools, improve infrastructure reliability, and industrialize operational practices.

In a highly regulated banking environment, counterparty management and rating are key elements in financial risk management. In this context, a leading investment bank launched initiatives to strengthen the reliability and governance of its rating processes, while improving data quality and ensuring compliance of access rights and authorization mechanisms within risk management applications. The mission is part of a broader transformation program aimed at structuring workflows, improving eligibility mechanisms, and supporting the implementation of new business functionalities.

In a highly regulated banking environment, collateral management and certification are critical processes to guarantee the compliance and reliability of financial operations.

Within this framework, a major corporate and investment bank initiated work to strengthen the traceability of application processes and to industrialize delivery and control mechanisms associated with applications related to collateral calculation and certification.

To secure these processes in a context of strong regulatory requirements, Avaliance supported the structuring of development, industrialization, and technical governance practices for the relevant applications.

In a highly regulated financial markets environment, Initial Margin (IM) management is a key lever for controlling exposure and costs related to derivatives trading activities. In this context, a leading investment bank launched initiatives to analyze and optimize its Initial Margin calculation mechanisms applied to derivatives portfolios, particularly Credit Default Swaps (CDS) and Interest Rate Derivatives (IRD). The objective was to improve margin management, optimize clearing strategies, and provide trading teams with decision-support tools to reduce collateral costs and overall exposure.

In a highly regulated banking environment, trading activities rely on the reliability of market data and the accuracy of financial valuations. In this context, a leading investment bank launched an initiative to automate the Mark-to-Market (MTM) certification process in order to improve control quality and ensure more reliable transaction valuations. The objective of this initiative is to reduce manual processing performed by analysts, optimize anomaly detection in market data, and strengthen the robustness of valuation controls. To support this program, Avaliance contributed to the design and integration of an analysis module aimed at automating discrepancy detection and improving operational efficiency.

In a highly regulated banking environment characterized by large volumes of financial data, a leading investment bank launched the modernization of its risk calculation and Profit & Loss (PnL) monitoring tools. As part of this initiative, an advanced technical platform (Metrics Platform) was developed to meet increasing requirements in terms of performance, reliability, and scalability for trading and risk management activities. To support this strategic initiative, Avaliance contributed to the development of the platform, supervised technical activities, and structured Agile practices within the project team.

In a context of IT transformation and increasing regulatory requirements, a leading investment banking institution launched an initiative to rationalize its reserves framework used by trading activities. The objective is to improve the reliability and transparency of calculation methodologies used for reserves, particularly within Independent Price Verification (IPV) and risk management processes. In this context, Avaliance contributed to the review of quantitative models within the TRO team, in close collaboration with trading, quantitative research, and model validation teams.