Context

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.

Challenges

The client needed to modernize a critical application while ensuring continuity of processes related to collateral margin monitoring and Initial Margin calculations.

One of the main challenges was maintaining the legacy application in operational condition while preparing its evolution toward a more modern and scalable Cloud platform. The migration also needed to guarantee the reliability of financial data, the security of processing, and the performance of calculations, while enabling the temporary coexistence of legacy and Cloud environments during the transition phase.

Avaliance Intervention

Achievements

Avaliance contributed to the modernization of the Initial Margin platform through the following actions:
  • maintenance and evolution of the Initial Margin application in its legacy environment

  • support to Collateral teams in stabilizing and optimizing processes related to collateral management

  • participation in the preparation and progressive migration toward the Azure MPT platform

  • integration of application evolutions to ensure continuity of financial processing during transition

Technologies & Domains

Microsoft Azure
Initial Margin (IM)
Collateral Management
Cloud Migration
Financial Risk Compliance
Hybrid Architecture

Results

Avaliance’s intervention delivered several operational benefits:
1
maintained stability and continuity of Initial Margin processing throughout the transition
2
progressive modernization of the platform toward a scalable Azure Cloud architecture
3
improved reliability of collateral data and complex margin calculations
4
enhanced maintainability and scalability of the business-critical solution
5
establishment of a more robust technological foundation for future margin management evolutions

Context

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.

Challenges

The client needed to strengthen regulatory compliance and traceability of application processes related to collateral management.

Key challenges included implementing industrialized delivery mechanisms, improving development quality, and securing application deployments. It was also necessary to facilitate the adoption of regulatory requirements by both business and technical teams while improving the reliability of collateral calculation and certification processes.

Avaliance Intervention

Achievements

Avaliance contributed to structuring and industrializing application processes related to collateral through several key actions:
  • definition and implementation of application delivery procedures compliant with regulatory requirements

  • implementation and administration of industrialization tools: XLDeploy, Puppet, Jenkins, Nexus, and Docker

  • implementation of software quality best practices: code reviews, continuous integration, and Sonar analysis

  • design of a self-certification mechanism based on a rules engine for automated controls

  • implementation of a margin calculation simulation system to improve control reliability

Technologies & Tools

XLDeploy
Puppet
Jenkins Pipeline
Nexus
Docker
SonarQube
Rules Engine
Collateral Management

Results

Avaliance’s intervention delivered significant benefits for the client:
1
strengthened traceability and compliance of application processes
2
industrialization of delivery and deployment processes
3
improved quality and reliability of software developments
4
optimization of collateral certification processes
5
better control over margin calculation and monitoring mechanisms

Context

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.

Challenges

The client needed to improve and automate counterparty rating processes in order to enhance the quality of risk assessments and strengthen exposure management.

Key challenges included ensuring consistency of rating mechanisms, managing access rights and application authorizations in line with security policies, and implementing new business functionalities. It was also necessary to improve the quality of data used in risk analysis and secure operational processes to limit operational risks.

Avaliance Intervention

Achievements

Avaliance contributed to structuring and improving counterparty rating processes through several key initiatives:
  • implementation of derived counterparty rating mechanisms (FC/LC) and eligibility rules

  • structuring of the rating workflow, default management, and counterparty relationship qualification

  • implementation of Security Policy: management of access, authorizations, roles, and confidentiality

  • business requirements collection, backlog prioritization, and scoping workshops within an Agile framework

  • execution of UAT testing, deployment support (Day 1), user training, and post-go-live support

Technologies & Frameworks

Counterparty Risk
Process Automation
Agile (Scrum)
UAT Testing
IAM & Security Policy
Capital Markets Risk

Results

Avaliance’s intervention enabled the client to achieve the following outcomes:
1
improved reliability and automation of the counterparty rating process
2
strengthened governance and compliance of access to risk management applications
3
enhanced quality and consistency of data used in risk analysis
4
optimized rating workflows and default management mechanisms
5
improved visibility for risk teams on counterparty assessments and associated exposures

Context

In a banking environment subject to strong risk management and regulatory compliance requirements, collateral calculation processes play a key role in controlling financial exposure. In this context, a leading investment bank launched a program to modernize its collateral calculation tools to improve the reliability of existing processes and reduce technical debt associated with legacy workflows. The initiative notably aimed to migrate processes developed in SSIS (SQL Server Integration Services) to a more modern application architecture based on .NET, improving performance, maintainability, and overall consistency of the calculation chain.

Challenges

The client needed to modernize its collateral calculation models while ensuring the reliability of processes used in risk management.

Key challenges included removing technical debt associated with legacy SSIS workflows, harmonizing calculation mechanisms, and improving overall processing performance. It was also necessary to enhance tool maintainability and ensure the robustness of processes within a demanding financial environment.

Avaliance Intervention

Achievements

As part of this mission, Avaliance contributed to the modernization and reliability of collateral calculation processes through:
  • redesign and implementation of new collateral calculation models

  • progressive migration of legacy SSIS processes to a .NET-based application architecture

  • drafting of technical specifications and execution of technical and functional tests

  • contribution to Level 2 application support to ensure operational continuity

Technologies & Domains

.NET Architecture
SSIS (Legacy Migration)
Collateral Management
SQL Server
Risk Management Systems
Application Modernization

Results

Avaliance’s intervention enabled the client to achieve structuring outcomes:
1
modernization and rationalization of the global collateral calculation chain
2
significant reduction of technical debt related to outdated SSIS processes
3
improved performance and maintainability of the technical application ecosystem
4
strengthened reliability of calculation processes used in critical risk management
5
implementation of a robust application foundation for future calculation model evolutions

Context

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.

Challenges

The client needed to optimize Initial Margin management in an environment characterized by strong regulatory constraints and clearing house requirements.

Key challenges included reducing margin costs, optimizing portfolios through rebalancing strategies, and improving Front Office visibility on the impact of clearing decisions. It was also necessary to support trading teams in selecting clearing houses and strategies to optimize collateral allocation and reduce overall market exposure.

Avaliance Intervention

Achievements

Avaliance contributed to the optimization of Initial Margin calculation and management mechanisms through:
  • analysis of Initial Margin models used by clearing houses and SIMM model optimization

  • optimization of IM through back-loading and portfolio rebalancing strategies (IN/IN and IN/OUT)

  • participation in CDS clearing processes with major clearing houses (ICE EU, ICE US, LCH CDSClear)

  • production of analytical reports to support Front Office decision-making and collateral allocation

  • support to trading teams in selecting clearing houses to minimize margin requirements

Technologies & Frameworks

Initial Margin (IM)
SIMM Model
Derivatives (CDS & IRD)
ICE & LCH CDSClear
Portfolio Rebalancing
Collateral Optimization

Results

Avaliance’s intervention delivered significant benefits for the client:
1
optimization of Initial Margin requirements on complex derivatives portfolios
2
reduction of collateral costs associated with multi-site clearing activities
3
improved Front Office visibility on the long-term impact of clearing strategies
4
enhanced control over risk exposure in global derivatives markets
5
provision of analytical tools facilitating strategic decision-making for trading teams

Context

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.

Challenges

The client needed to strengthen regulatory compliance and the traceability of application processes related to collateral management.

The main challenges involved implementing industrialization mechanisms for delivery, improving development quality, and securing application deployments.

It was also necessary to facilitate the adoption of regulatory requirements by business and technical teams, while improving the reliability of collateral calculation and certification processes.

Avaliance Intervention

Achievements

As part of this mission, Avaliance contributed to the structuring and industrialization of application processes related to collateral:
  • Definition and implementation of application delivery procedures compliant with regulatory requirements

  • Implementation and administration of industrialization and deployment tools: XLDeploy, Puppet, Jenkins Pipeline, Nexus, Docker, and Docker Registry

  • Contribution to the technical governance of applications dedicated to collateral calculation and certification

  • Analysis and integration of regulatory requirements in collaboration with business teams

  • Implementation of development and software quality best practices: branch management, code reviews, continuous integration (Jenkins), and Sonar analysis

  • Steering and coordination of major application evolutions

  • Design of a self-certification mechanism based on a rules engine

  • Implementation of a margin calculation simulation system to improve control reliability

Technologies Used

Collateral Certification

Results

Avaliance’s intervention delivered significant benefits for the client:

1
Strengthened traceability and compliance of application processes
2
Industrialization of delivery and deployment processes
3
Improved quality and reliability of developments
4
Optimization of collateral certification processes
5
Better control of margin calculation and monitoring mechanisms

Context

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.

Challenges

The client needed to improve the reliability and efficiency of the MTM certification process in an environment characterized by high transaction volumes and strict financial control requirements.

Automation was required to efficiently process tens of thousands of transactions, reduce manual interventions, and quickly identify valuation anomalies. The project also aimed to increase transparency of control analyses and improve the quality of data used in trading and risk management activities.

Avaliance Intervention

Achievements

Avaliance contributed to the design and implementation of an automated analysis module dedicated to MTM certification through:
  • design of an anomaly detection module for market and trading data

  • implementation of revaluation mechanisms for anomalies using alternative parameters

  • analysis of drivers explaining valuation discrepancies and identifying core issues

  • automation of the Mark-to-Market (MTM) certification process for relevant transactions

Technologies & Domains

Mark-to-Market (MTM)
Automation
Financial Valuation
Anomaly Detection
Market Data Analysis
Capital Markets

Results

Avaliance’s intervention enabled the client to achieve the following outcomes:
1
automation of a significant portion of MTM certification controls
2
improved quality and reliability of valuation data used in trading
3
significant reduction in operational workload for analyst teams
4
faster identification and analysis of market anomalies
5
strengthened reliability of valuation processes across risk management

Context

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.

Challenges

The client needed to implement a platform capable of efficiently handling risk and PnL calculations within a demanding trading environment, while ensuring the robustness and scalability of the technical architecture.

Key challenges also included coordinating a development team, maintaining a high level of software quality, and adopting Agile practices to quickly respond to business needs in a regulated environment.

Avaliance Intervention

Achievements

Avaliance contributed to the design and development of the platform, as well as to structuring the project’s Agile organization:
  • development of the Metrics Platform dedicated to risk calculation and PnL monitoring

  • technical contribution through senior Full Stack and Azure Cloud developers

  • facilitation of Agile ceremonies (scrum, sprint planning, reviews, retrospectives)

  • support to the team to ensure technical consistency and delivery quality

Technologies Used

Azure Cloud
Full Stack Development
Metrics Platform
Agile (Scrum)
Risk & PnL Systems

Results

Avaliance’s intervention enabled the client to achieve structuring outcomes:
1
implementation of a high-performance platform for risk calculation and PnL monitoring
2
improved scalability and reliability of critical financial processing
3
better coordination of development teams through the adoption of Agile practices
4
accelerated delivery of features expected by business and risk teams
5
strengthened quality and robustness of the platform’s technical components

Context

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.

Challenges

The client needed to strengthen the reliability and traceability of its reserve calculation methodologies while ensuring compliance with regulatory requirements, particularly SR11-7 related to model governance.

Key challenges included formalizing methodological approaches, improving model transparency, automating calculation processes, and enhancing coordination between Front Office, quantitative research, and model validation teams.

Avaliance Intervention

Achievements

Avaliance contributed to the rationalization and formalization of the reserves framework through several key actions:
  • review of quantitative models (IPV, risk, and reserves) supporting trading activities

  • drafting of conceptual and regulatory documentation compliant with the SR11-7 framework

  • collaboration with trading and quant research on the methodological foundations of pricing models

  • revision of reserve calculation methods using empirical, statistical, or actuarial approaches

  • industrialization of calculation processes using automated Python and Excel tools

Technologies & Frameworks

Python
Excel / VBA
SR11-7
IPV (Independent Price Verification)
Pricing Models
TRO
Capital Markets

Results

Avaliance’s intervention enabled the client to achieve structuring outcomes:
1
improved reliability and transparency of reserve methodologies
2
strengthened alignment with SR11-7 regulatory requirements
3
enhanced traceability of models and calculation assumptions
4
industrialization of calculation processes through Python-based automation
5
improved coordination between trading, quantitative research, and model validation teams

Context

The client initiated the modernization of its application environment dedicated to securitization operations, historically based on a legacy system that had become obsolete. This strategic evolution aimed to meet increasing requirements in terms of performance, reliability, and regulatory compliance, while ensuring continuity of critical financial processes. To secure this transformation and design a robust target solution, the client relied on Avaliance to develop a new application capable of replacing the existing system while aligning with modern technology standards.

Challenges

The client needed to modernize its securitization system while minimizing operational risks associated with the legacy solution.

Key challenges included ensuring regulatory compliance, maintaining the accuracy and reliability of financial calculations, improving transparency of operations, enhancing processing performance, and building a scalable and secure system capable of supporting market activities.

Avaliance Intervention

Achievements

Avaliance deployed a structured approach to application modernization and technical transition:
  • design and development of a new securitization application to replace the legacy system

  • implementation of a modern and scalable application architecture

  • securing financial processing, data flows, and robustness of calculations

  • improving overall system performance to meet high-volume market activity needs

  • supporting the transition from legacy environments to the new solution with minimal risk

Technologies & Frameworks

Capital Markets IT
Securitization System
Legacy Modernization
Regulatory Compliance
Modern Application Architecture

Results

Thanks to Avaliance’s intervention, the client achieved concrete and measurable results:
1
secure replacement of a critical legacy application without operational disruption
2
improved reliability and performance of financial processing and calculations
3
significant reduction of operational risks linked to outdated technology
4
strengthened compliance with banking and financial regulatory requirements
5
deployment of a modern and scalable application foundation capable of supporting future growth
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